CN115393349A - Method and system for evaluating quality of Changbai jade - Google Patents
Method and system for evaluating quality of Changbai jade Download PDFInfo
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- CN115393349A CN115393349A CN202211314398.7A CN202211314398A CN115393349A CN 115393349 A CN115393349 A CN 115393349A CN 202211314398 A CN202211314398 A CN 202211314398A CN 115393349 A CN115393349 A CN 115393349A
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Abstract
The invention provides a method and a system for evaluating the quality of Changbai jade, wherein the method comprises the following steps: carrying out image acquisition on the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated; based on the trained raw Changbai jade quality evaluation mathematical model, carrying out raw stone quality evaluation on the Changbai jade to be evaluated; based on the trained Changbai jade development quality mathematical model, carrying out development quality evaluation on the Changbai jade to be evaluated; and performing comprehensive quality evaluation on the Changbai jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the Changbai jade to be evaluated. The quality evaluation of the Changbai jade is carried out by adopting a machine instead of manpower, so that the defects that the manual evaluation and evaluation process is time-consuming and labor-consuming, the efficiency is low and the influence of large subjective factors exists are overcome, the quality evaluation result error is reduced, meanwhile, the comprehensive evaluation of the quality and the development quality of the Changbai jade raw stone is carried out, and the occurrence of the condition of overestimating the value of the Changbai jade caused by only carrying out the quality evaluation on the Changbai jade raw stone is avoided.
Description
Technical Field
The invention relates to the technical field of quality evaluation, in particular to a method and a system for evaluating the quality of Changbai jade.
Background
Changbai jade is one of the mineral products with important economic significance in Changbai mountain areas, is produced in Malu villages, which are autonomous counties of Korean in Changbai mountain, of the Changbai mountain in the middle section, has been formed for 1.3 hundred million years till now, is equivalent to the late stage of Jurassic period, is formed by deposition of volcanic debris substances, and the main component of the Changbai jade is pyrophyllite;
the Changbai jade has the advantages that the Changbai jade is fine and compact in quality, warm and clean, firm but not stubborn, smooth but not slippery, easy to carve, good in glossiness, mostly translucent to slightly transparent except a few transparent, green, yellow, grey brown, purple red, grey white and the like in color, beautiful in pattern, natural and smooth in texture, fine in appearance and easy to carve and cut, a large number of Changbai jade is made into ornaments, and the ornaments made of the Changbai jade with different qualities have large value differences, so that the Changbai jade needs to be subjected to quality evaluation before processing, and the selling price of the ornaments made of the Changbai jade is determined through the quality evaluation of the Changbai jade;
at present, the quality evaluation of the long white jade can be carried out by observing the color, texture, crack state and the like of the long white jade carefully by a specialist with a magnifier, so that the quality evaluation result can be obtained, the quality evaluation process is time-consuming and labor-consuming, the efficiency is low, and the influence of larger subjective factors (such as visual fatigue of the specialist, personal preference of the specialist and the like) exists, so that the evaluation result error is larger;
meanwhile, the processed long white jade needs to be reprocessed to become a product, the value of the processed long white jade is not only dependent on the quality of the long white jade raw stone, but also dependent on the developability of the long white jade (such as the long white jade has larger volume, higher shape regularity and higher material utilization rate), the existing quality evaluation of the long white jade is only limited to the quality evaluation of the raw stone, and the comprehensive evaluation of the quality and the development quality of the long white jade raw stone is lacked.
Therefore, the invention provides a method and a system for evaluating the quality of the Changbai jade.
Disclosure of Invention
The invention provides a method and a system for evaluating the quality of Changbai jade, which are used for solving the technical problems that the existing Changbai jade quality evaluation process is time-consuming and labor-consuming, the efficiency is low, and the influence of large subjective factors exists, so that the evaluation result error is large, meanwhile, the existing Changbai jade quality evaluation is only limited to the quality evaluation of the raw stone of the Changbai jade, and the comprehensive evaluation of the quality and the development quality of the Changbai jade is lacked.
The invention provides a method for evaluating the quality of Changbai jade, which comprises the following steps:
step 1: carrying out image acquisition on the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated;
and 2, step: based on the trained raw Changbai jade quality evaluation mathematical model and the image data of the Changbai jade to be evaluated, the raw jade quality of the Changbai jade to be evaluated is evaluated;
and step 3: based on the trained Changbai jade development quality mathematical model and the Changbai jade image data to be evaluated, carrying out development quality evaluation on the Changbai jade to be evaluated;
and 4, step 4: and performing comprehensive quality evaluation on the Changbai jade to be evaluated based on the quality evaluation result and the development quality evaluation result of the raw stone of the Changbai jade to be evaluated, and outputting the evaluation result.
In a possible implementation manner, before performing step 1, the method includes:
scanning the jade to be evaluated, comparing the scanning result with the Changbai jade sample in the data storage module, and judging whether the jade to be evaluated is the Changbai jade;
if yes, executing the step 1;
if not, removing the jade to be evaluated;
and after the step 1 is executed, transmitting the collected Changbai jade image data to be evaluated to a data storage module.
In a possible implementation manner, after step 1 is executed, before step 2 is executed, the method includes:
comparing the pixel value and the resolution in the obtained data of the long white jade image to be evaluated with a preset pixel value and a preset resolution respectively, and eliminating the pixel value or the image with the resolution lower than the preset pixel value and the resolution in the long white jade image to be evaluated to obtain a rough screening image of the long white jade image to be evaluated;
and comparing the pixel value with the resolution of the repeated rough screening images of the long white jade images to be evaluated, screening out the images with the optimal pixel value and resolution in the repeated rough screening images of the long white jade images to be evaluated, and taking the image data as the data for inputting the trained raw long white jade quality evaluation mathematical model and the trained raw long white jade development quality mathematical model.
In one possible implementation, the training of the Changbai jade stone quality evaluation mathematical model comprises:
step 201: acquiring a Changbai jade stone quality evaluation mathematical model training sample, taking 70% of the Changbai jade stone quality evaluation mathematical model training sample as a training set, and taking 30% of the Changbai jade stone quality evaluation mathematical model training sample as a test set;
step 202: firstly, inputting a training set into a Changbai jade raw stone quality evaluation mathematical model to train the Changbai jade raw stone quality evaluation mathematical model, then inputting a test set into the Changbai jade raw stone quality evaluation mathematical model, and outputting an actual raw stone quality evaluation result of the test set;
obtaining an actual training completion evaluation value of the Changbai jade stone quality evaluation mathematical model based on the test set actual stone quality evaluation result and the test set preset stone quality evaluation result
；
If it is
Then, the training of the Changbai jade stone quality evaluation mathematical model is proved to be completed; wherein the content of the first and second substances,
evaluating the benchmark training completion degree of the Changbai jade stone quality evaluation mathematical model;
and if so, enlarging the sample size and continuing training the Changbai jade stone quality evaluation mathematical model.
In one possible implementation manner, the obtaining of the training sample of the quality evaluation mathematical model of the Changbai jade stone comprises the following steps:
step 2010: acquiring image data of a Changbai jade quality evaluation sample, and establishing raw stone quality influence factor data of the Changbai jade based on the image data of the Changbai jade quality evaluation sample;
the raw stone quality influence factor data of the Changbai jade comprises the following data: set of influence factors on quality of primary long white jade
Set of influence factors on quality of raw stone with second-level Changbai jade
；
Wherein the content of the first and second substances,
represents
The quality influencing factors of the original stone of the middle-xth primary long white jade, wherein x represents the number of the quality influencing factors of the original stone of the primary long white jade;
the value range of j is [1, x ]]，
Represent
The raw stone quality influence factor of the y second-level long white jade in the raw stone quality influence factors of the j first-level long white jade;
step 2011: the quality evaluation expert performs quality evaluation on the raw stone quality influence factors of each secondary long white jade in each long white jade quality evaluation sample image based on the raw stone quality influence factor data of the long white jade to obtain the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade in each long white jade quality evaluation sample image;
step 2012: obtaining a quality evaluation value corresponding to the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image based on the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade of each long white jade quality evaluation sample image, and obtaining a comprehensive raw stone quality evaluation value corresponding to each long white jade quality evaluation sample image based on the quality evaluation value and the corresponding weight of the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image;
and taking the image data of the Changbai jade quality evaluation sample and the comprehensive raw stone quality evaluation value corresponding to each Changbai jade quality evaluation sample image as a Changbai jade raw stone quality evaluation mathematical model training sample.
In one possible implementation, the raw stone quality influencing factors of the first-grade Changbai jade include color factors, texture factors and crack state factors;
the raw stone quality influence factors of the secondary long white jade corresponding to the color factors comprise the rarity degree of the color, the purity degree of the color and the uniformity degree of the color;
the quality factors of the raw stone of the second-level Changbai jade corresponding to the texture factors comprise density, toughness, fineness and glossiness;
the raw stone quality influence factors of the second-level long white jade corresponding to the texture factors comprise the texture rarity and the texture uniformity;
the raw stone quality influencing factors of the second-level long white jade corresponding to the crack state factors comprise the severity degree of the cracks and the proportion degree of the cracks.
In one possible implementation, the Changbai jade development quality mathematical model training includes:
step 301: acquiring the image data of the quality evaluation sample of the Changbai jade, establishing development quality influence factor data of the Changbai jade based on the image data of the quality evaluation sample of the Changbai jade, wherein the development quality influence factor data of the Changbai jade is a development quality influence factor set of the Changbai jade
；
Step 302: the quality evaluation expert performs quality evaluation on the development quality influence factors of each long white jade quality evaluation sample image based on the development quality influence factor data of the long white jade to obtain the development quality influence factor quality evaluation values and corresponding weights of the long white jade quality evaluation sample image;
step 303: obtaining a comprehensive development quality evaluation value of each long white jade quality evaluation sample image based on the development quality influence factor quality evaluation value and the corresponding weight of each long white jade of the long white jade quality evaluation sample image, and taking the long white jade quality evaluation sample image data and the comprehensive development quality evaluation value of each long white jade quality evaluation sample image as a long white jade development quality mathematical model training sample;
step 304: taking 70% of training samples of the Changbai jade development quality mathematical model as a training set, taking 30% of training samples of the Changbai jade development quality mathematical model as a test set, inputting the training samples into the Changbai jade development quality mathematical model for training, and obtaining the trained Changbai jade development quality mathematical model.
In one possible implementation, the development quality influencing factors of the Changbai jade include a Changbai jade volume factor, a Changbai jade shape regularity factor and a Changbai jade material utilization factor.
In a possible implementation manner, the comprehensive quality evaluation is performed on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and the evaluation result is output, including:
step 401: calculating the comprehensive quality evaluation value of the Changbai jade to be evaluated:
wherein, the first and the second end of the pipe are connected with each other,
for the comprehensive quality evaluation value of the Changbai jade to be evaluated,
for the comprehensive development quality evaluation value of the Changbai jade to be evaluated, namely the development quality evaluation result of the Changbai jade to be evaluated,
in order to comprehensively develop the weight value corresponding to the quality evaluation value,
the evaluation result is the comprehensive quality evaluation value of the raw stone of the Changbai jade to be evaluated, namely the quality evaluation result of the raw stone of the Changbai jade to be evaluated,
the weight value is corresponding to the quality evaluation value of the comprehensive raw stone;
step 402: dividing a reference quality evaluation value based on the comprehensive quality evaluation value and each grade of the Changbai jade to be evaluated, determining the grade of the Changbai jade to be evaluated, and outputting the grade of the Changbai jade to be evaluated:
wherein the content of the first and second substances,
is a first reference quality evaluation value that is,
is a second reference quality evaluation value that is,
is a third reference quality evaluation value.
The invention provides a system for evaluating the quality of a Changbai jade, which is used for realizing any one of the above methods for evaluating the quality of the Changbai jade, and comprises the following steps:
a data acquisition module: the evaluation system is used for acquiring images of the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated;
a first evaluation module: the method is used for evaluating the quality of the raw stone of the long white jade to be evaluated based on the trained long white jade raw stone quality evaluation mathematical model and the image data of the long white jade to be evaluated;
a second evaluation module: the evaluation method is used for evaluating the development quality of the long white jade to be evaluated based on the trained long white jade development quality mathematical model and the image data of the long white jade to be evaluated;
an evaluation result output module: the method is used for carrying out comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and outputting the evaluation result.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a first flowchart of a method for evaluating the quality of a Changbai jade in an embodiment of the present invention;
FIG. 2 is a second flowchart of a method for evaluating the quality of a Changbai jade in accordance with an embodiment of the present invention;
FIG. 3 is a third flowchart of a method for evaluating the quality of a Changbai jade in accordance with an embodiment of the present invention;
FIG. 4 is a fourth flowchart of a method for evaluating the quality of a Changbai jade in an embodiment of the present invention;
FIG. 5 is a fifth flowchart of a method for evaluating the quality of a Changbai jade in an embodiment of the present invention;
fig. 6 is a block diagram of a system for evaluating the quality of a long white jade in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides a method for evaluating the quality of a Changbai jade, which comprises the following steps as shown in figure 1:
step 1: carrying out image acquisition on the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated;
step 2: based on the trained raw Changbai jade quality evaluation mathematical model and the image data of the Changbai jade to be evaluated, carrying out raw stone quality evaluation on the Changbai jade to be evaluated;
and step 3: based on the trained long white jade development quality mathematical model and the long white jade image data to be evaluated, carrying out development quality evaluation on the long white jade to be evaluated;
and 4, step 4: and performing comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and outputting the evaluation result.
In the embodiment, a 3D scanning instrument can be used for carrying out image acquisition on the Changbai jade to be evaluated, image data of the Changbai jade to be evaluated are obtained based on a mathematical model in the 3D scanning instrument, and the mathematical model in the scanning instrument is used for evaluating the color type of the Changbai jade in the image, the texture degree of the Changbai jade in the image, the texture type of the Changbai jade in the image, the crack state of the Changbai jade in the image, the volume of the Changbai jade in the image, the shape regularity of the Changbai jade in the image and the material utilization rate of the Changbai jade in the image based on the Changbai jade image to be evaluated;
in this embodiment, the to-be-evaluated wonderstone image data includes a set of a pixel value, a resolution, a color evaluation value of a wonderstone in an image, a texture evaluation value of the wonderstone in the image, a texture kind evaluation value of the wonderstone in the image, a crack state evaluation value of the wonderstone in the image, a volume evaluation value of the wonderstone in the image, a shape regularity evaluation value of the wonderstone in the image, and a material utilization evaluation value of the wonderstone in the image;
in this embodiment, the quality of the raw white jade to be evaluated is evaluated based on the trained raw white jade raw stone quality evaluation mathematical model and the raw white jade image data to be evaluated, and in order to input the raw white jade image data to be evaluated (color evaluation value, texture evaluation value of the raw white jade in the image, texture type evaluation value of the raw white jade in the image, crack state evaluation value of the raw white jade in the image) into the trained raw white jade quality evaluation mathematical model, the trained raw white jade quality evaluation mathematical model outputs the raw stone quality evaluation result of the raw white jade to be evaluated, that is, the comprehensive raw stone quality evaluation value of the raw white jade to be evaluated.
In this embodiment, development quality evaluation is performed on the to-be-evaluated long white jade based on a trained long white jade development quality mathematical model and image data of the to-be-evaluated long white jade, and in order to input the to-be-evaluated long white jade image data (a volume evaluation value of the to-be-evaluated long white jade, a shape regularity evaluation value of the to-be-evaluated long white jade, and a material utilization evaluation value of the to-be-evaluated long white jade) into the trained long white jade development quality mathematical model, the trained long white jade development quality mathematical model outputs a development quality evaluation result of the to-be-evaluated long white jade, that is, a comprehensive development quality evaluation value of the to-be-evaluated long white jade.
In this embodiment, the quality evaluation of the raw stone is performed on the long white jade to be evaluated, and is performed on the long white jade to be evaluated based on the color, texture, and crack state of the long white jade itself to be evaluated, and is referred to herein as the raw stone quality evaluation.
In the embodiment, development quality evaluation is performed on the long white jade to be evaluated, and the quality evaluation is performed on the long white jade to be evaluated based on the volume of the long white jade to be evaluated, the shape regularity of the long white jade and the material utilization rate of the long white jade, and is referred to as development quality evaluation, and the development quality evaluation is used for evaluating value benefits which can be created by the long white jade in the subsequent processing and manufacturing process;
for example, the long white jade has larger volume, higher shape regularity and higher material utilization rate, can be used for manufacturing a larger ornament bracelet, and can also be used for manufacturing a ring and an ear nail by using residual materials, so that the value benefit created by the long white jade in the subsequent processing and manufacturing process is higher, and the corresponding development quality evaluation is higher.
In the embodiment, the comprehensive quality evaluation is carried out on the Changbai jade to be evaluated, the quality evaluation is carried out on the Changbai jade to be evaluated in order to comprehensively consider the quality evaluation result and the development quality evaluation result of the raw stone of the Changbai jade to be evaluated, and the comprehensive quality evaluation of the Changbai jade to be evaluated not only reflects the quality of the raw stone of the Changbai jade to be evaluated, but also reflects the value benefit which can be created in the subsequent processing and manufacturing process of the Changbai jade to be evaluated.
The beneficial effects of the above technical scheme are: the method comprises the steps of acquiring images of the long white jade to be evaluated to obtain image data of the long white jade to be evaluated, carrying out raw-stone quality evaluation and development quality evaluation on the long white jade to be evaluated based on a trained raw-stone quality evaluation mathematical model and a trained development quality mathematical model of the long white jade, carrying out comprehensive quality evaluation on the long white jade to be evaluated based on a raw-stone quality evaluation result and a development quality evaluation result of the long white jade to be evaluated, and carrying out quality evaluation on the long white jade by adopting a machine instead of manpower, so that the defects of time and labor waste, low efficiency and large influence of subjective factors in a manual evaluation process are overcome, quality evaluation result errors are reduced, meanwhile, the comprehensive evaluation on the quality and the development quality of the long white jade is carried out, and the situation that the value of the long white jade is estimated to be high due to the quality evaluation of the long white jade only on the raw white jade is avoided;
for example, under the conditions of small volume, low shape regularity and low material utilization rate of a long white jade with high quality of raw stone, the long white jade cannot be processed into an ornament with high value, the price of the long white jade is finally higher than the selling price of the processed ornament, the occurrence of the condition of overestimating the value of the long white jade caused by only considering the quality of the long white jade is not avoided, and the quality and the development quality of the raw stone of the long white jade need to be comprehensively considered when the quality of the long white jade is evaluated.
Example 2:
based on embodiment 1, before step 1, the method includes:
scanning the jade to be evaluated, comparing the scanning result with the Changbai jade sample in the data storage module, and judging whether the jade to be evaluated is the Changbai jade;
if yes, executing the step 1;
if not, removing the jade to be evaluated;
and after the step 1 is executed, transmitting the collected Changbai jade image data to be evaluated to a data storage module.
In the embodiment, a scanning instrument for scanning the jade to be evaluated is a three-dimensional laser scanner, and after the jade to be evaluated is scanned by the three-dimensional laser scanner, data modeling is carried out on the jade to be evaluated to obtain data characteristic parameters of the jade to be evaluated;
based on the Changbai jade sample in the data storage module, acquiring a data characteristic parameter threshold range of the Changbai jade sample in the data storage module, comparing the data characteristic parameter of the jade to be evaluated with the data characteristic parameter threshold range of the Changbai jade sample, if the data characteristic parameter of the jade to be evaluated falls within the data characteristic parameter threshold range of the Changbai jade sample, the jade to be evaluated is the Changbai jade, and if the data characteristic parameter of the jade to be evaluated exceeds the data characteristic parameter threshold range of the Changbai jade sample, the jade to be evaluated is not the Changbai jade, the Jade to be evaluated is removed.
The beneficial effects of the above technical scheme are: scanning the jade to be evaluated, comparing the scanning result with the Changbai jade sample in the data storage module, and judging whether the jade to be evaluated is the Changbai jade; if yes, executing the step 1; if not, the jades to be evaluated are removed, the jades of the non-long white jades are removed, the fact that the non-long white jade jades occupy subsequent quality evaluation resources of the long white jades is avoided, the quality evaluation efficiency of the long white jades is improved, after the step 1 is executed, the collected image data of the long white jades to be evaluated are transmitted to the data storage module, the effect of expanding sample data of the long white jades can be achieved, and therefore the scanning reliability of the jades to be evaluated is enabled to be optimized continuously.
Example 3:
based on embodiment 1, after step 1 is executed, before step 2 is executed, the method includes:
comparing the pixel value and the resolution in the obtained data of the long white jade image to be evaluated with a preset pixel value and a preset resolution respectively, and eliminating the pixel value or the image with the resolution lower than the preset pixel value and the resolution in the long white jade image to be evaluated to obtain a rough screening image of the long white jade image to be evaluated;
and comparing the pixel value with the resolution of the repeated rough screening images of the long white jade images to be evaluated, screening out the images with the optimal pixel value and resolution in the repeated rough screening images of the long white jade images to be evaluated, and taking the image data as the data for inputting the trained raw long white jade quality evaluation mathematical model and the trained raw long white jade development quality mathematical model.
In this embodiment, the preset pixel value and the preset resolution are both a reference value which is set manually and used for screening the quality of the Changbai jade image to be evaluated;
when the pixel value of the to-be-evaluated long white jade image is lower than a preset pixel value or the resolution of the to-be-evaluated long white jade image is lower than a preset resolution, the to-be-evaluated long white jade image is proved to have poor quality, and the image data of the to-be-evaluated long white jade image is not suitable for being input into a trained raw long white jade quality evaluation mathematical model and a trained long white jade development quality mathematical model;
when the pixel value of the long white jade image to be evaluated is higher than the preset pixel value and the resolution of the long white jade image to be evaluated is higher than the preset resolution, the quality of the long white jade image to be evaluated is proved to be better, and the image data can be used as data input into a trained raw long white jade quality evaluation mathematical model and a trained long white jade development quality mathematical model;
in this embodiment, when the Changbai jade image to be evaluated is acquired, multiple sets of images are acquired at the same position of the Changbai jade, and thus, the repeated rough screening images of the Changbai jade image to be evaluated refer to the images acquired at the same position of the Changbai jade in the rough screening images of the Changbai jade image to be evaluated.
The beneficial effects of the above technical scheme are: screening pixel values and resolutions in the to-be-evaluated long white jade image data, eliminating images with the pixel values and the resolutions lower than preset pixel values and resolutions in the to-be-evaluated long white jade image, obtaining a rough-screened image of the to-be-evaluated long white jade image, comparing the pixel values and the resolutions of repeated rough-screened images of the to-be-evaluated long white jade image, screening out an image with the optimal pixel values and resolution in the repeated rough-screened image of the to-be-evaluated long white jade image, inputting the image data as data of a trained raw quality evaluation mathematical model of the long white jade and a trained development quality mathematical model of the long white jade, eliminating images with unqualified quality in the screening of the to-be-evaluated long white jade image, simultaneously selecting images with the optimal quality in the repeated to-be-evaluated long white jade image, screening and optimizing the to-be-evaluated long white jade image data, and increasing the quality evaluation reliability of the to-be-evaluated long white jade.
Example 4:
based on the embodiment 1, as shown in fig. 2, the training of the quality evaluation mathematical model of the Changbai white jade stone comprises the following steps:
step 201: acquiring a Changbai jade stone quality evaluation mathematical model training sample, taking 70% of the Changbai jade stone quality evaluation mathematical model training sample as a training set, and taking 30% of the Changbai jade stone quality evaluation mathematical model training sample as a test set;
step 202: firstly, inputting a training set into a Changbai jade raw stone quality evaluation mathematical model to train the Changbai jade raw stone quality evaluation mathematical model, then inputting a test set into the Changbai jade raw stone quality evaluation mathematical model, and outputting an actual raw stone quality evaluation result of the test set;
obtaining an actual training completion evaluation value of the Changbai jade original stone quality evaluation mathematical model based on the actual original stone quality evaluation result of the test set and the preset original stone quality evaluation result of the test set
；
If it is
Then, the training of the Changbai jade stone quality evaluation mathematical model is proved to be completed; wherein the content of the first and second substances,
evaluating the benchmark training completion degree of the Changbai jade stone quality evaluation mathematical model;
if it is
And enlarging the sample size and continuing training the quality evaluation mathematical model of the Changbai jade stone.
In this embodiment, the training sample of the quality evaluation mathematical model of the raw long white jade is a data sample for training the quality evaluation mathematical model of the raw long white jade.
In the embodiment, the evaluation value of the actual training completion degree of the Changbai jade stone quality evaluation mathematical model is obtained based on the test set actual raw stone quality evaluation result and the test set preset raw stone quality evaluation result
；
Evaluation value of actual training completion degree of the Changbai jade stone quality evaluation mathematical model:
wherein the content of the first and second substances,
in order to test the comprehensive raw stone quality evaluation value (actual raw stone quality evaluation result) of the kth Changbai jade raw stone quality evaluation mathematical model training sample in the set,
the preset raw stone quality evaluation value (preset raw stone quality evaluation result) of the kth training sample of the Changbai white jade raw stone quality evaluation mathematical model in the test set is obtained, k is the total number of the training samples of the Changbai white jade raw stone quality evaluation mathematical model in the test set,
and presetting evaluation value reference errors between the quality evaluation results of the raw stones for each actual raw stone quality evaluation result and each test set.
In this embodiment, the evaluation value of the actual training completion degree of the long white jade stone quality evaluation mathematical model is used to evaluate the training completion degree of the long white jade stone quality evaluation mathematical model.
The beneficial effects of the above technical scheme are: obtaining an actual training completion evaluation value of the Changbai jade stone quality evaluation mathematical model based on the test set actual stone quality evaluation result and the test set preset stone quality evaluation result
Evaluating the actual training completion degree of the mathematical model by the quality evaluation of the Changbai jade stone
And comparing the evaluation value with the reference training completion evaluation value of the long white jade raw stone quality evaluation mathematical model to judge whether the long white jade raw stone quality evaluation mathematical model is trained completely, thereby avoiding the occurrence of the condition of large quality evaluation error caused by the immature training of the long white jade raw stone quality evaluation mathematical model and ensuring the reliability of the long white jade raw stone quality evaluation mathematical model.
Example 5:
based on embodiment 4, as shown in fig. 3, obtaining a training sample of a Changbai jade stone quality evaluation mathematical model includes:
step 2010: acquiring image data of a Changbai jade quality evaluation sample, and establishing raw stone quality influence factor data of the Changbai jade based on the image data of the Changbai jade quality evaluation sample;
the raw stone quality influence factor data of the Changbai jade comprise: set of raw stone quality influencing factors of first-grade Changbai jade
Set of influence factors on quality of raw stone with second-level Changbai jade
；
Wherein the content of the first and second substances,
represent
The quality influence factors of the original stone of the xth primary long white jade, wherein x represents the number of the quality influence factors of the original stone of the primary long white jade;
the value range of j is [1, x ]]，
Represents
The raw stone quality influence factor of the y second-level long white jade in the raw stone quality influence factors of the j first-level long white jade;
step 2011: a quality evaluation expert performs quality evaluation on the raw stone quality influence factors of each secondary long white jade in each long white jade quality evaluation sample image based on the raw stone quality influence factor data of the long white jade to obtain the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade in each long white jade quality evaluation sample image;
step 2012: obtaining a quality evaluation value corresponding to the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image based on the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade of each long white jade quality evaluation sample image, and obtaining a comprehensive raw stone quality evaluation value corresponding to each long white jade quality evaluation sample image based on the quality evaluation value and the corresponding weight of the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image;
and taking the image data of the long white jade quality evaluation sample and the comprehensive raw stone quality evaluation value corresponding to each long white jade quality evaluation sample image as a long white jade raw stone quality evaluation mathematical model training sample.
In this embodiment, the sample image data for evaluating the quality of the Changbai jade is image data obtained by using a large number of scanned images of the Changbai jade as training samples;
in the embodiment, the primary influence factor set of the quality of the primary Changbai jade is a mother influence factor set which influences the quality of the primary Changbai jade; in this way,
represents
The influence factors of the quality of the original stone of the xth primary Changbai jade are preferably
The xth parent influence factor;
in this embodiment, the set of raw stone quality influencing factors of the second-level Changbai jade is a set of child influencing factors corresponding to each parent influencing factor; in this way,
represents
The raw stone quality influencing factor of the y second-level long white jade in the raw stone quality influencing factors of the j first-level long white jade is preferably
Represents
The y-th sub-influence factor in the j-th mother influence factor;
in this embodiment, the obtaining of the quality evaluation value corresponding to the raw stone quality influence factor of each primary long white jade in each long white jade quality evaluation sample image based on the raw stone quality influence factor quality evaluation value of each secondary long white jade in each long white jade quality evaluation sample image and the corresponding weight thereof includes:
wherein, the first and the second end of the pipe are connected with each other,
is composed of
The quality evaluation value corresponding to the quality influence factor of the raw stone of the jth level of the long white jade,
the weight value corresponding to the quality evaluation value of the original stone quality influence factor of the tth secondary long white jade corresponding to the original stone quality influence factor of the jth primary long white jade,
the quality evaluation value of the raw stone quality influence factor of the tth secondary long white jade corresponding to the raw stone quality influence factor of the jth primary long white jade;
in this embodiment, the obtaining of the comprehensive raw stone quality evaluation value corresponding to each piece of the quality evaluation sample image based on the quality evaluation value corresponding to the raw stone quality influencing factor of each first-level long white jade in each piece of the quality evaluation sample image and the weight corresponding to the quality evaluation value includes:
wherein, the first and the second end of the pipe are connected with each other,
for the comprehensive raw stone quality evaluation value corresponding to a certain long white jade quality evaluation sample image,
the weight value corresponding to the quality evaluation value corresponding to the quality influence factor of the raw stone of the jth level of the Changbai jade,
is composed of
And the quality evaluation value corresponding to the quality influence factor of the raw stone of the jth primary long white jade.
The beneficial effects of the above technical scheme are: the method comprises the steps of establishing raw stone quality influence factor data of the long white jade based on the long white jade quality evaluation sample image data, dividing the raw stone quality influence factor data of the long white jade into a primary raw stone quality influence factor set of the long white jade and a secondary raw stone quality influence factor set of the long white jade, and not directly using the long white jade quality evaluation sample image data as a training sample, so that the evaluation reliability of the long white jade raw stone quality evaluation mathematical model is improved.
Example 6:
based on the embodiment 5, the quality influencing factors of the raw stone of the first-grade Changbai jade comprise color factors, texture factors and crack state factors;
the raw stone quality influence factors of the second-level long white jade corresponding to the color factors comprise the rarity degree of the color, the purity degree of the color and the uniformity degree of the color;
the quality factors of the raw stone of the second-level Changbai jade corresponding to the texture factors comprise density, toughness, fineness and glossiness;
the raw stone quality influence factors of the second-level long white jade corresponding to the texture factors comprise the texture rarity and the texture uniformity;
the quality influencing factors of the raw stone of the second-level long white jade corresponding to the crack state factors comprise the severity of the crack and the proportion of the crack.
In this embodiment, the set of raw stone quality influencing factors of the first-level Changbai jade:
wherein, x =4,
which is representative of a color factor of the color,
which is representative of a factor of the texture,
which is representative of a factor of the texture,
representative, crack condition factors;
the color factor corresponding to the raw stone quality influence factor set of the second-level Changbai jade:
the quality influence factors of the raw stone of the second-level Changbai jade corresponding to the texture factors are collected:
the raw stone quality influence factor set of the second-level long white jade corresponding to the texture factors is as follows:
the raw stone quality influence factors of the second-level long white jade corresponding to the crack state factors are set as follows:
The beneficial effects of the above technical scheme are: the raw stone quality influence factors of the first-level long white jade and the raw stone quality influence factors of the second-level long white jade corresponding to the raw stone quality influence factors of each first-level long white jade are classified, so that the raw stone quality influence factor data of the long white jade are finer, and the evaluation reliability of the long white jade raw stone quality evaluation mathematical model is improved.
Example 7:
based on the embodiment 1, as shown in fig. 4, the training of the Changbai jade development quality mathematical model comprises the following steps:
step 301: acquiring the image data of the quality evaluation sample of the Changbai jade, establishing development quality influence factor data of the Changbai jade based on the image data of the quality evaluation sample of the Changbai jade, wherein the development quality influence factor data of the Changbai jade is a development quality influence factor set of the Changbai jade
；
Step 302: the quality evaluation expert performs quality evaluation on the development quality influence factors of each long white jade quality evaluation sample image based on the development quality influence factor data of the long white jade to obtain the development quality influence factor quality evaluation values and corresponding weights of the long white jade quality evaluation sample image;
step 303: obtaining a comprehensive development quality evaluation value of each long white jade quality evaluation sample image based on the development quality influence factor quality evaluation value and the corresponding weight of each long white jade of the long white jade quality evaluation sample image, and taking the long white jade quality evaluation sample image data and the comprehensive development quality evaluation value of each long white jade quality evaluation sample image as a long white jade development quality mathematical model training sample;
step 304: taking 70% of training samples of the Changbai jade development quality mathematical model as a training set, taking 30% of training samples of the Changbai jade development quality mathematical model as a test set, inputting the Changbai jade development quality mathematical model into the Changbai jade development quality mathematical model for training, and obtaining a trained Changbai jade development quality mathematical model;
the influence factors of the development quality of the Changbai jade comprise a volume factor of the Changbai jade, a shape regularity factor of the Changbai jade and a material utilization factor of the Changbai jade.
In this embodiment, the image data of the quality evaluation sample of the long white jade is image data obtained by using a large number of scanned images of the long white jade as training samples, and is the same as data for training a mathematical model for evaluating the quality of the raw stone of the long white jade.
In the embodiment, the development quality influence factor set of the long white jade is a set consisting of factors influencing the later development of the long white jade, wherein the later development of the long white jade is that the long white jade is carved into a bracelet, a ring or an ear nail, the long white jade has different volumes, different shape regularity and different material utilization rates, the ornament types and the ornament numbers formed by the subsequent development of the long white jade are determined to be different, the development quality of the long white jade is determined to be different according to the different ornament types and the different ornament numbers, the greater the development quality, the higher the benefit created by the long white jade is, the larger the volume of the long white jade, the higher the shape regularity and the higher the material utilization rate are, the long white jade can be used for manufacturing a larger ornament, the ring and the ear nail can be manufactured by using the residual materials, and the development quality evaluation corresponding to the long white jade is higher.
In this embodiment, the development quality influencing factor set of Changbai jade
Wherein p =3;
in this embodiment, the obtaining a comprehensive development quality evaluation value of each of the quality evaluation sample images of the prolate jade based on the development quality influence factor quality evaluation value of each of the prolate jade and the corresponding weight thereof includes:
wherein, the first and the second end of the pipe are connected with each other,
a quality evaluation value is developed for each piece of the long white jade quality evaluation sample image,
is as follows
The quality evaluation value corresponding to the development quality influence factor of the Changbai jade corresponds to the weight,
is a first
And the quality evaluation value corresponding to the development quality influence factor of the Changbai jade.
The beneficial effects of the above technical scheme are: the method comprises the steps of obtaining image data of a long and white jade quality evaluation sample, establishing development quality influence factor data of the long and white jade based on the image data of the long and white jade quality evaluation sample, and not directly taking the image data of the long and white jade quality evaluation sample as a training sample, so that the evaluation reliability of a trained long and white jade development quality mathematical model is improved.
Example 8:
based on the example 1, as shown in fig. 5, the comprehensive quality evaluation is performed on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and the evaluation result is output, including:
step 401: calculating the comprehensive quality evaluation value of the Changbai jade to be evaluated:
wherein the content of the first and second substances,
for the comprehensive quality evaluation value of the Changbai jade to be evaluated,
for the comprehensive development quality evaluation value of the Changbai jade to be evaluated, namely the development quality evaluation result of the Changbai jade to be evaluated,
in order to comprehensively develop the weight value corresponding to the quality evaluation value,
the evaluation result is the comprehensive quality evaluation value of the raw stone of the Changbai jade to be evaluated, namely the quality evaluation result of the raw stone of the Changbai jade to be evaluated,
the weight value is corresponding to the quality evaluation value of the comprehensive raw stone;
step 402: dividing a reference quality evaluation value based on the comprehensive quality evaluation value and each grade of the Changbai jade to be evaluated, determining the grade of the Changbai jade to be evaluated, and outputting the grade of the Changbai jade to be evaluated:
wherein, the first and the second end of the pipe are connected with each other,
is a first reference quality evaluation value that is,
is a second reference quality evaluation value and is,
is a third reference quality evaluation value.
In this embodiment, the comprehensive development quality evaluation value of the long white jade to be evaluated is an output result of the trained long white jade development quality mathematical model (development quality evaluation result of the long white jade to be evaluated) after the image data of the long white jade to be evaluated is input into the trained long white jade development quality mathematical model;
in this embodiment, the comprehensive raw stone quality evaluation value of the long white jade to be evaluated is an output result of the trained raw stone quality evaluation mathematical model of the long white jade (a raw stone quality evaluation result of the long white jade to be evaluated) after the image data of the long white jade to be evaluated is input into the trained raw stone quality evaluation mathematical model of the long white jade;
in this embodiment, the first reference quality evaluation value, the second reference quality evaluation value, and the third reference quality evaluation value are all artificial-graded reference quality evaluation values, and
。
the beneficial effects of the above technical scheme are: based on the comprehensive development quality evaluation value of the Changbai jade to be evaluated, the weight corresponding to the comprehensive development quality evaluation value, the comprehensive raw stone quality evaluation value of the Changbai jade to be evaluated and the weight corresponding to the comprehensive raw stone quality evaluation value, calculating the comprehensive quality evaluation value of the Changbai jade to be evaluated, comparing the calculation result with a first reference quality evaluation value, a second reference quality evaluation value and a third reference quality evaluation value to obtain the grade level of the Changbai jade to be evaluated, and outputting the grade level of the Changbai jade to be evaluated instead of the comprehensive quality evaluation value of the Changbai jade to be evaluated, so that the comprehensive quality evaluation result of the Changbai jade to be evaluated is simple and clear.
Example 9:
the invention provides a system for evaluating the quality of a Changbai jade, which is used for realizing the method for evaluating the quality of the Changbai jade in any one of embodiments 1-8, and comprises the following steps:
a data acquisition module: the evaluation system is used for acquiring images of the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated;
a first evaluation module: the method is used for evaluating the quality of the raw stone of the long white jade to be evaluated based on the trained raw stone quality evaluation mathematical model of the long white jade and the image data of the long white jade to be evaluated;
a second evaluation module: the evaluation method is used for evaluating the development quality of the long white jade to be evaluated based on the trained long white jade development quality mathematical model and the image data of the long white jade to be evaluated;
an evaluation result output module: the method is used for carrying out comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and outputting the evaluation result.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. A method for quality evaluation of a Changbai jade, comprising the steps of:
step 1: carrying out image acquisition on the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated; comparing the pixel value and the resolution in the obtained data of the Changbai jade image to be evaluated with a preset pixel value and a preset resolution respectively, and eliminating the pixel value or the resolution in the Changbai jade image to be evaluated which is lower than the preset pixel value and the resolution to obtain a coarsely screened image of the Changbai jade image to be evaluated; comparing the pixel value and the resolution of the repeated rough screening images of the long white jade images to be evaluated, screening out images with optimal pixel values and resolutions in the repeated rough screening images of the long white jade images to be evaluated, and taking image data of the images as data for inputting a trained raw long white jade quality evaluation mathematical model and a trained raw long white jade development quality mathematical model;
and 2, step: based on the trained raw Changbai jade quality evaluation mathematical model and the image data of the Changbai jade to be evaluated, the raw jade quality of the Changbai jade to be evaluated is evaluated;
and 3, step 3: based on the trained Changbai jade development quality mathematical model and the Changbai jade image data to be evaluated, carrying out development quality evaluation on the Changbai jade to be evaluated;
and 4, step 4: and performing comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and outputting the evaluation result.
2. A method for quality assessment of a Changbai jade as claimed in claim 1 wherein before performing step 1, it comprises:
scanning the jade to be evaluated, comparing the scanning result with the Changbai jade sample in the data storage module, and judging whether the jade to be evaluated is the Changbai jade;
if yes, executing the step 1;
if not, removing the jade to be evaluated;
and after the step 1 is executed, transmitting the collected Changbai jade image data to be evaluated to a data storage module.
3. A method for quality assessment of a Changbai jade as claimed in claim 1 wherein the training of the Changbai jade stone quality assessment mathematical model comprises:
step 201: acquiring a Changbai jade raw stone quality evaluation mathematical model training sample, taking 70% of the Changbai jade raw stone quality evaluation mathematical model training sample as a training set, and taking 30% of the Changbai jade raw stone quality evaluation mathematical model training sample as a test set;
step 202: firstly, inputting a training set into a Changbai jade raw stone quality evaluation mathematical model to train the Changbai jade raw stone quality evaluation mathematical model, then inputting a test set into the Changbai jade raw stone quality evaluation mathematical model, and outputting an actual raw stone quality evaluation result of the test set;
obtaining an actual training completion evaluation value of the Changbai jade original stone quality evaluation mathematical model based on the actual original stone quality evaluation result of the test set and the preset original stone quality evaluation result of the test set
；
If it is
Then, the training of the Changbai jade stone quality evaluation mathematical model is proved to be completed; wherein the content of the first and second substances,
for evaluating mathematical model of quality of Changbai jade stoneEvaluating the reference training completion degree;
if it is
And expanding the sample size and continuing training the quality evaluation mathematical model of the Changbai jade stone.
4. The method for quality assessment of Changbai jade as claimed in claim 3, wherein obtaining training samples of a Changbai jade stone quality assessment mathematical model comprises:
step 2010: acquiring the image data of the quality evaluation sample of the Changbai jade, and establishing the raw stone quality influence factor data of the Changbai jade based on the image data of the quality evaluation sample of the Changbai jade;
the raw stone quality influence factor data of the Changbai jade comprises the following data: set of influence factors on quality of primary long white jade
Set of influence factors on quality of raw stone with second-level Changbai jade
；
Wherein the content of the first and second substances,
represent
The quality influence factors of the original stone of the xth primary long white jade, wherein x represents the number of the quality influence factors of the original stone of the primary long white jade;
the value range of j is [1, x ]]，
Represents
The jth of (C) toThe raw stone quality influencing factor of the y second-level long white jade in the raw stone quality influencing factors of the second-level long white jade;
step 2011: the quality evaluation expert performs quality evaluation on the raw stone quality influence factors of each secondary long white jade in each long white jade quality evaluation sample image based on the raw stone quality influence factor data of the long white jade to obtain the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade in each long white jade quality evaluation sample image;
step 2012: obtaining a quality evaluation value corresponding to the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image based on the raw stone quality influence factor quality evaluation value and the corresponding weight of each secondary long white jade of each long white jade quality evaluation sample image, and obtaining a comprehensive raw stone quality evaluation value corresponding to each long white jade quality evaluation sample image based on the quality evaluation value and the corresponding weight of the raw stone quality influence factor of each primary long white jade of each long white jade quality evaluation sample image;
and taking the image data of the long white jade quality evaluation sample and the comprehensive raw stone quality evaluation value corresponding to each long white jade quality evaluation sample image as a long white jade raw stone quality evaluation mathematical model training sample.
5. The method for quality evaluation of a Changbai jade as claimed in claim 4 wherein the primary stone quality influencing factors of the primary Changbai jade include color factors, texture factors and crack status factors;
the raw stone quality influence factors of the second-level long white jade corresponding to the color factors comprise the rarity degree of the color, the purity degree of the color and the uniformity degree of the color;
the quality factors of the raw stone of the second-level Changbai jade corresponding to the texture factors comprise density, toughness, fineness and glossiness;
the raw stone quality influence factors of the second-level long white jade corresponding to the texture factors comprise the texture rarity and the texture uniformity;
the quality influencing factors of the raw stone of the second-level long white jade corresponding to the crack state factors comprise the severity of the crack and the proportion of the crack.
6. The method for quality assessment of a Changbai jade as claimed in claim 1, wherein the Changbai jade development quality mathematical model training comprises:
step 301: acquiring the image data of the quality evaluation sample of the Changbai jade, establishing development quality influence factor data of the Changbai jade based on the image data of the quality evaluation sample of the Changbai jade, wherein the development quality influence factor data of the Changbai jade is a development quality influence factor set of the Changbai jade
；
Step 302: the quality evaluation expert performs quality evaluation on the development quality influence factors of each long white jade quality evaluation sample image based on the development quality influence factor data of the long white jade to obtain the development quality influence factor quality evaluation values and corresponding weights of the long white jade quality evaluation sample image;
step 303: obtaining a comprehensive development quality evaluation value of each long white jade quality evaluation sample image based on the development quality influence factor quality evaluation value and the corresponding weight of each long white jade of the long white jade quality evaluation sample image, and taking the long white jade quality evaluation sample image data and the comprehensive development quality evaluation value of each long white jade quality evaluation sample image as long white jade development quality mathematical model training samples;
step 304: and taking 70% of training samples of the long white jade development quality mathematical model as a training set, taking 30% of training samples of the long white jade development quality mathematical model as a test set, inputting the training samples into the long white jade development quality mathematical model, and training to obtain the trained long white jade development quality mathematical model.
7. A method for the quality assessment of Changbai jade as claimed in claim 6,
the developing quality influencing factors of the Changbai jade comprise the volume factor of the Changbai jade, the shape regularity factor of the Changbai jade and the material utilization factor of the Changbai jade.
8. The method of claim 1, wherein the performing of the comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated and the outputting of the evaluation result comprises:
step 401: calculating the comprehensive quality evaluation value of the Changbai jade to be evaluated:
wherein, the first and the second end of the pipe are connected with each other,
is the comprehensive quality evaluation value of the Changbai jade to be evaluated,
for the comprehensive development quality evaluation value of the Changbai jade to be evaluated, namely the development quality evaluation result of the Changbai jade to be evaluated,
in order to comprehensively develop the weight value corresponding to the quality evaluation value,
the evaluation value of the quality of the comprehensive raw stone of the Changbai jade to be evaluated, namely the quality evaluation result of the raw stone of the Changbai jade to be evaluated,
the weight value is corresponding to the comprehensive original stone quality evaluation value;
step 402: based on the comprehensive quality evaluation value and each grade division reference quality evaluation value of the Changbai jade to be evaluated, determining the grade of the Changbai jade to be evaluated, and outputting the grade of the Changbai jade to be evaluated:
wherein, the first and the second end of the pipe are connected with each other,
is a first reference quality evaluation value and,
is a second reference quality evaluation value and is,
is a third reference quality evaluation value.
9. A system for quality assessment of a Changbai jade, comprising:
a data acquisition module: the evaluation system is used for acquiring images of the Changbai jade to be evaluated to obtain image data of the Changbai jade to be evaluated;
a first evaluation module: the method is used for evaluating the quality of the raw stone of the long white jade to be evaluated based on the trained raw stone quality evaluation mathematical model of the long white jade and the image data of the long white jade to be evaluated;
a second evaluation module: the method is used for evaluating the development quality of the long white jade to be evaluated based on the trained long white jade development quality mathematical model and the image data of the long white jade to be evaluated;
an evaluation result output module: the method is used for carrying out comprehensive quality evaluation on the long white jade to be evaluated based on the raw stone quality evaluation result and the development quality evaluation result of the long white jade to be evaluated, and outputting the evaluation result.
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