CN103729642A - Meat quality detection system and method based on ultrasonic signals - Google Patents
Meat quality detection system and method based on ultrasonic signals Download PDFInfo
- Publication number
- CN103729642A CN103729642A CN201310722408.5A CN201310722408A CN103729642A CN 103729642 A CN103729642 A CN 103729642A CN 201310722408 A CN201310722408 A CN 201310722408A CN 103729642 A CN103729642 A CN 103729642A
- Authority
- CN
- China
- Prior art keywords
- texture
- image
- meat
- ultrasonoscopy
- pixel
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 235000013372 meat Nutrition 0.000 title claims abstract description 81
- 238000001514 detection method Methods 0.000 title claims abstract description 75
- 238000000034 method Methods 0.000 title abstract description 13
- 238000000605 extraction Methods 0.000 claims abstract description 22
- 238000005070 sampling Methods 0.000 claims abstract description 16
- 238000000354 decomposition reaction Methods 0.000 claims abstract description 15
- 239000000284 extract Substances 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000000691 measurement method Methods 0.000 claims description 49
- 238000001914 filtration Methods 0.000 claims description 12
- 239000000523 sample Substances 0.000 claims description 11
- 238000001228 spectrum Methods 0.000 claims description 10
- 238000002604 ultrasonography Methods 0.000 claims description 8
- 230000003595 spectral effect Effects 0.000 abstract 1
- 238000011156 evaluation Methods 0.000 description 7
- 230000008901 benefit Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 235000013622 meat product Nutrition 0.000 description 2
- 235000015277 pork Nutrition 0.000 description 2
- 230000001953 sensory effect Effects 0.000 description 2
- 238000000638 solvent extraction Methods 0.000 description 2
- 230000001066 destructive effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000037213 diet Effects 0.000 description 1
- 235000005911 diet Nutrition 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 229910052736 halogen Inorganic materials 0.000 description 1
- 150000002367 halogens Chemical class 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012067 mathematical method Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000000050 nutritive effect Effects 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000003381 stabilizer Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- WFKWXMTUELFFGS-UHFFFAOYSA-N tungsten Chemical compound [W] WFKWXMTUELFFGS-UHFFFAOYSA-N 0.000 description 1
- 229910052721 tungsten Inorganic materials 0.000 description 1
- 239000010937 tungsten Substances 0.000 description 1
- 229940088594 vitamin Drugs 0.000 description 1
- 229930003231 vitamin Natural products 0.000 description 1
- 235000013343 vitamin Nutrition 0.000 description 1
- 239000011782 vitamin Substances 0.000 description 1
- 150000003722 vitamin derivatives Chemical class 0.000 description 1
Images
Landscapes
- Ultra Sonic Daignosis Equipment (AREA)
- Image Analysis (AREA)
- Investigating Or Analyzing Materials By The Use Of Ultrasonic Waves (AREA)
Abstract
本发明属于超声图像处理技术领域，尤其涉及一种基于超声信号的肉类品质检测系统及方法。本发明基于超声信号的肉类品质检测系统包括超声图像采集装置、纹理提取模块和图像抽样模块，超声图像采集装置用于采集待测肉类的超声图像，所述纹理提取模块用于通过纹理提取算法提取超声图像的纹理特征得到纹理图像，所述图像抽样模块用于计算所述纹理图像的像素均值和像素方差值，根据纹理图像的像素方差值判断纹理图像的纹理均匀度。本发明通过采用二维经验模态分解及二维谱特征，得到纹理图像，根据纹理图像的像素方差值判断该图像的纹理均匀度，并以图像的纹理均匀度作为评价肉类品质的指标，系统简单，便于操作，能够直观、快速、准确的反应肉类品质。
The invention belongs to the technical field of ultrasonic image processing, and in particular relates to a meat quality detection system and method based on ultrasonic signals. The meat quality detection system based on ultrasonic signals of the present invention includes an ultrasonic image acquisition device, a texture extraction module and an image sampling module, the ultrasonic image acquisition device is used to collect ultrasonic images of the meat to be tested, and the texture extraction module is The algorithm extracts the texture features of the ultrasonic image to obtain a texture image, and the image sampling module is used to calculate the pixel mean value and pixel variance value of the texture image, and judge the texture uniformity of the texture image according to the pixel variance value of the texture image. The present invention obtains a texture image by using two-dimensional empirical mode decomposition and two-dimensional spectral features, judges the texture uniformity of the image according to the pixel variance value of the texture image, and uses the texture uniformity of the image as an index for evaluating meat quality , the system is simple, easy to operate, and can intuitively, quickly and accurately reflect the quality of meat.
Description
Technical field
The invention belongs to ultrasonoscopy processing technology field, relate in particular to a kind of measurement techniques for quality detection of meat detection system and method based on ultrasonic signal.
Background technology
Meat and meat products thereof can provide protein, fat, inorganic salts and the vitamin etc. of needed by human body, are the important sources that the mankind obtain nutriment.Along with the continuous progress of society and economic fast development, people's living standard improves constantly, and consumption demand is growing, more and more pays close attention to the health of diet, and the requirement of measurement techniques for quality detection of meat is improved constantly.At present for the evaluation of measurement techniques for quality detection of meat, mostly be traditional subjective sensory evaluation or conventional instrument mensuration etc., subjective sensory evaluation mainly depends on the subjective factors such as people's vision, experience, lacks objectivity, evaluates precision low.Although conventional instrument has higher evaluation accuracy, apparatus system is all comparatively loaded down with trivial details, and operating process is complicated, destructive large, cannot obtain in real time, easily measurement techniques for quality detection of meat evaluate parameter; Number of patent application is the system and method for the fresh Meat of a kind of Fast Evaluation of 201110228938.5 proposition, and this system is comprised of imaging spectrometer, CCD digital camera, halogen tungsten lamp dc point light source, light-source stabilizer, camera controller, computing machine and image pick-up card.The method gathers the high spectrum image on pork surface, then, according to the physical and chemical parameter evaluation classification of measuring, finally adopts mathematical method to analyze the forecast model that high spectrum image is set up evaluation pork freshness.The method is less with respect to its destructiveness of conventional instrument, but equipment is various, system complex, operability is lower, convenience is poor.
The textural characteristics that meat muscle fibre presents is an important parameter of assessment measurement techniques for quality detection of meat quality, the orderly meat of clean mark is good than the mixed and disorderly unordered mouthfeel of texture, be of high nutritive value, and therefore how extracting quickly and accurately meat textural characteristics seems particularly important.
Summary of the invention
The invention provides a kind of measurement techniques for quality detection of meat detection system and method based on ultrasonic signal, be intended to solve that existing measurement techniques for quality detection of meat detecting instrument system is loaded down with trivial details, complicated operation, the poor technical matters of convenience.
Technical scheme provided by the invention is: a kind of measurement techniques for quality detection of meat detection system based on ultrasonic signal, comprise acquiring ultrasound image device, texture extraction module and image sampling module, described acquiring ultrasound image device is for gathering the ultrasonoscopy of meat to be measured, described texture extraction module obtains texture image for extract the textural characteristics of ultrasonoscopy by texture extraction algorithm, described image sampling module is for calculating pixel average and the pixel variance yields of described texture image, according to the texture uniformity coefficient of the pixel variance yields judgement texture image of texture image.
Technical scheme of the present invention also comprises: described acquiring ultrasound image device comprises ultrasonic probe, display and control panel, described ultrasonic probe is for gathering the ultrasonoscopy of meat diverse location to be measured, and the ultrasonoscopy collecting by the demonstration of described control panel control display.
Technical scheme of the present invention also comprises: also comprise image processing module, described image processing module is for carrying out cutting to the ultrasonoscopy collecting, retain the ultrasonoscopy in the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise.
Technical scheme of the present invention also comprises: the texture extraction algorithm that described texture extraction module adopts is specially: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy.
Technical scheme of the present invention also comprises: pixel average and pixel variance yields that described image sampling module is calculated described texture image specifically comprise: the sub-block that texture image sampling is divided into the different pixels of some, and add up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance yields of entire image, the texture uniformity coefficient of the pixel variance yields judgement texture image by entire image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat.
Another technical scheme provided by the invention is: a kind of measurement techniques for quality detection of meat detection method based on ultrasonic signal, comprising:
Step a: gather the ultrasonoscopy of meat to be measured and show;
Step b: the textural characteristics that extracts ultrasonoscopy by texture extraction algorithm obtains texture image;
Step c: calculate pixel average and the pixel variance yields of described texture image, according to the texture uniformity coefficient of the pixel variance yields judgement texture image of texture image.
Technical scheme of the present invention also comprises: described step a also comprises: the ultrasonoscopy collecting is carried out to cutting, retain the ultrasonoscopy in the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise.
Technical scheme of the present invention also comprises: in described step b, the described texture image that obtains ultrasonoscopy by texture extraction algorithm specifically comprises: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy.
Technical scheme of the present invention also comprises: in described step c, pixel average and the pixel variance yields of the described texture image of described calculating are specially: the sub-block that texture image sampling is divided into the different pixels of some, and add up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance of entire image, the texture uniformity coefficient of the pixel variance yields judgement texture image by entire image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat.
Technical scheme of the present invention also comprises: after described step c, also comprise: set pixel variance threshold values, and whether the pixel variance that judges described texture image is less than described pixel variance threshold values, if be less than pixel variance threshold values, represent that tested measurement techniques for quality detection of meat is higher, if be greater than pixel variance threshold values, represent that tested measurement techniques for quality detection of meat is lower.
Technical scheme tool of the present invention has the following advantages or beneficial effect: the measurement techniques for quality detection of meat detection system based on ultrasonic signal of the embodiment of the present invention and method are by adopting two-dimensional empirical mode decomposition and two-dimensional spectrum feature, obtain texture image, according to the pixel variance yields of texture image, judge the texture uniformity coefficient of this image, and using the texture uniformity coefficient of image as the index of evaluating measurement techniques for quality detection of meat, system is simple, convenient operation, can react measurement techniques for quality detection of meat intuitively, fast and accurately.
Accompanying drawing explanation
Accompanying drawing 1 is the structural representation of the measurement techniques for quality detection of meat detection system based on ultrasonic signal of the embodiment of the present invention;
Accompanying drawing 2 is process flow diagrams of the measurement techniques for quality detection of meat detection method based on ultrasonic signal of the embodiment of the present invention.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not intended to limit the present invention.
Referring to Fig. 1, is the structural representation of the measurement techniques for quality detection of meat detection system based on ultrasonic signal of the embodiment of the present invention.The measurement techniques for quality detection of meat detection system based on ultrasonic signal of the embodiment of the present invention comprises acquiring ultrasound image device, image processing module, texture extraction module and image sampling module, wherein,
Acquiring ultrasound image device comprises ultrasonic probe, display and control panel, and ultrasonic probe is used for gathering the ultrasonoscopy of meat diverse location to be measured, and controls by control panel the ultrasonoscopy that display demonstration collects; Wherein, the mode that ultrasonic probe gathers ultrasonoscopy is: the long axis direction of ultrasonic probe is vertically positioned over to the surface of meat to be measured, and by adjusting the position of ultrasonic probe, gathers the meat ultrasonoscopy of diverse location.
Image processing module, for the ultrasonoscopy collecting is carried out to cutting, retains the ultrasonoscopy in the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise;
Texture extraction module is for obtaining the texture image of ultrasonoscopy by texture extraction algorithm, texture extraction algorithm is specially: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy;
Image sampling module is for being divided into texture image sampling the sub-block of the different pixels of some, and add up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance (Variance of entire image, the difference of each data and average square average) value, the texture uniformity coefficient of the pixel variance yields judgement texture image by entire image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat, pixel value variance can be reacted the uniformity coefficient of image texture preferably, the image pixel variance that texture is uniformly distributed (meat that quality is high) is less, on the contrary, the image pixel variance of texture disorderly and unsystematic (meat that quality is lower) is larger, in another embodiment of the present invention, also can be by setting pixel variance threshold values as the index of evaluating measurement techniques for quality detection of meat, for example, setting pixel variance threshold values is 0.5, to be less than 0.5 measurement techniques for quality detection of meat higher for pixel variance, it is lower that pixel variance is greater than 0.5 measurement techniques for quality detection of meat, by calculating the pixel distribution variance of texture image, quantize texture uniformity coefficient, simple to operate, and can be directly perceived, fast, react accurately measurement techniques for quality detection of meat, wherein, the cutting apart quantity or partitioning scheme and can set with actual demand of texture image, in embodiments of the present invention, the sub-block pixel of cutting apart is 10 * 10.
Referring to Fig. 2, is the process flow diagram of the measurement techniques for quality detection of meat detection method based on ultrasonic signal of the embodiment of the present invention.The measurement techniques for quality detection of meat detection method based on ultrasonic signal of the embodiment of the present invention comprises:
Step 100: gather the ultrasonoscopy of meat diverse location to be measured, and show the ultrasonoscopy collecting;
In step 100, the long axis direction of ultrasonic probe is vertically positioned over to the surface of meat to be measured, and by adjusting the position of ultrasonic probe, gathers the meat ultrasonoscopy of diverse location.
Step 200: the ultrasonoscopy collecting is carried out to cutting, retain the ultrasonoscopy in the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise;
Step 300: the texture image that obtains ultrasonoscopy by texture extraction algorithm;
In step 300, texture extraction algorithm is specially: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy.
Step 400: texture image sampling is divided into the sub-block of the different pixels of some, and adds up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance of entire image;
In step 400, the cutting apart quantity or partitioning scheme and can set with actual demand of texture image, in embodiments of the present invention, the sub-block pixel of cutting apart is 10 * 10.
Step 500: the texture uniformity coefficient of the pixel variance yields judgement texture image by entire image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat;
In step 500, pixel value variance can be reacted the uniformity coefficient of image texture preferably, the image pixel variance that texture is uniformly distributed (meat that quality is high) is less, on the contrary, the image pixel variance of texture disorderly and unsystematic (meat that quality is lower) is larger, in another embodiment of the present invention, also can be by setting pixel variance threshold values as the index of evaluating measurement techniques for quality detection of meat, for example, setting pixel variance threshold values is 0.5, to be less than 0.5 measurement techniques for quality detection of meat higher for pixel variance, and it is lower that pixel variance is greater than 0.5 measurement techniques for quality detection of meat;
Technical scheme tool of the present invention has the following advantages or beneficial effect: the measurement techniques for quality detection of meat detection system based on ultrasonic signal of the embodiment of the present invention and method are by adopting two-dimensional empirical mode decomposition and two-dimensional spectrum feature, obtain texture image, according to the pixel variance yields of texture image, judge the texture uniformity coefficient of this image, and using the texture uniformity coefficient of image as the index of evaluating measurement techniques for quality detection of meat, system is simple, convenient operation, can react measurement techniques for quality detection of meat intuitively, fast and accurately.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, all any modifications of doing within the spirit and principles in the present invention, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (10)
1. the measurement techniques for quality detection of meat detection system based on ultrasonic signal, it is characterized in that, comprise acquiring ultrasound image device, texture extraction module and image sampling module, described acquiring ultrasound image device is for gathering the ultrasonoscopy of meat to be measured, described texture extraction module obtains texture image for extract the textural characteristics of ultrasonoscopy by texture extraction algorithm, described image sampling module is for calculating pixel average and the pixel variance yields of described texture image, according to the texture uniformity coefficient of the pixel variance yields judgement texture image of texture image.
2. the measurement techniques for quality detection of meat detection system based on ultrasonic signal according to claim 1, it is characterized in that, described acquiring ultrasound image device comprises ultrasonic probe, display and control panel, described ultrasonic probe is for gathering the ultrasonoscopy of meat diverse location to be measured, and the ultrasonoscopy collecting by the demonstration of described control panel control display.
3. the measurement techniques for quality detection of meat detection system based on ultrasonic signal according to claim 1 and 2, it is characterized in that, also comprise image processing module, described image processing module is for carrying out cutting to the ultrasonoscopy collecting, the ultrasonoscopy that retains the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise.
4. the measurement techniques for quality detection of meat detection system based on ultrasonic signal according to claim 1, it is characterized in that, the texture extraction algorithm that described texture extraction module adopts is specially: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy.
5. according to the measurement techniques for quality detection of meat detection system based on ultrasonic signal described in claim 1 or 4, it is characterized in that, pixel average and pixel variance yields that described image sampling module is calculated described texture image specifically comprise: the sub-block that texture image sampling is divided into the different pixels of some, and add up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance yields of entire image, by the pixel variance yields of entire image, judge the texture uniformity coefficient of texture image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat.
6. the measurement techniques for quality detection of meat detection method based on ultrasonic signal, comprising:
Step a: gather the ultrasonoscopy of meat to be measured and show;
Step b: the textural characteristics that extracts ultrasonoscopy by texture extraction algorithm obtains texture image;
Step c: calculate pixel average and the pixel variance yields of described texture image, according to the texture uniformity coefficient of the pixel variance yields judgement texture image of texture image.
7. the measurement techniques for quality detection of meat detection method based on ultrasonic signal according to claim 6, it is characterized in that, described step a also comprises: the ultrasonoscopy collecting is carried out to cutting, the ultrasonoscopy that retains the region that comprises the main texture information of meat, and the ultrasonoscopy in this region is carried out to filtering, filtering noise.
8. the measurement techniques for quality detection of meat detection method based on ultrasonic signal according to claim 6, it is characterized in that, in described step b, the described texture image that obtains ultrasonoscopy by texture extraction algorithm specifically comprises: adopt two-dimensional empirical mode decomposition to do multiple dimensioned decomposition to ultrasonoscopy, obtain the ground floor two dimension intrinsic mode function that marginal information is the abundantest, and resolve the two-dimensional spectrum feature that two-dimentional intrinsic mode function extracts ultrasonoscopy, obtain the textural characteristics of ultrasonoscopy.
9. the measurement techniques for quality detection of meat detection method based on ultrasonic signal according to claim 6, it is characterized in that, in described step c, pixel average and the pixel variance yields of the described texture image of described calculating are specially: the sub-block that texture image sampling is divided into the different pixels of some, and add up the pixel value of each sub-block, calculate the pixel average of each sub-block, obtain pixel average and the pixel variance of entire image, by the pixel variance yields of entire image, judge the texture uniformity coefficient of texture image, and using the texture uniformity coefficient of texture image as the index of evaluating measurement techniques for quality detection of meat.
10. according to the measurement techniques for quality detection of meat detection method based on ultrasonic signal described in claim 6 to 9 any one, it is characterized in that, after described step c, also comprise: set pixel variance threshold values, and whether the pixel variance that judges described texture image is less than described pixel variance threshold values, if be less than pixel variance threshold values, represent that tested measurement techniques for quality detection of meat is higher, if be greater than pixel variance threshold values, represent that tested measurement techniques for quality detection of meat is lower.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310722408.5A CN103729642A (en) | 2013-12-24 | 2013-12-24 | Meat quality detection system and method based on ultrasonic signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310722408.5A CN103729642A (en) | 2013-12-24 | 2013-12-24 | Meat quality detection system and method based on ultrasonic signals |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN103729642A true CN103729642A (en) | 2014-04-16 |
Family
ID=50453707
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310722408.5A Pending CN103729642A (en) | 2013-12-24 | 2013-12-24 | Meat quality detection system and method based on ultrasonic signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103729642A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104215664A (en) * | 2014-09-19 | 2014-12-17 | 英华达（南京）科技有限公司 | Glove and method for identifying quality of meat |
| CN107945197A (en) * | 2017-12-20 | 2018-04-20 | 南通使爱智能科技有限公司 | A kind of intelligent image processing instrument for Edge extraction |
| CN109785342A (en) * | 2019-01-15 | 2019-05-21 | 昆明理工大学 | A kind of analysis method of the animal meat quality uniformity |
| CN111802590A (en) * | 2020-05-25 | 2020-10-23 | 江苏省农业科学院 | A method for improving meat quality by ultrasonic assisted heat treatment and a method for evaluating meat products based on quantitative indicators |
| CN116391740B (en) * | 2023-04-11 | 2023-09-19 | 浙江丰隆食品加工有限公司 | Beef processing system based on intelligent classification |
| CN119104335A (en) * | 2024-04-01 | 2024-12-10 | 江门市蓬江区裕威倡电器实业有限公司 | A method and system for evaluating stirring performance of a mixer |
-
2013
- 2013-12-24 CN CN201310722408.5A patent/CN103729642A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104215664A (en) * | 2014-09-19 | 2014-12-17 | 英华达（南京）科技有限公司 | Glove and method for identifying quality of meat |
| CN104215664B (en) * | 2014-09-19 | 2017-01-11 | 英华达（南京）科技有限公司 | glove and method for identifying quality of meat |
| CN107945197A (en) * | 2017-12-20 | 2018-04-20 | 南通使爱智能科技有限公司 | A kind of intelligent image processing instrument for Edge extraction |
| CN109785342A (en) * | 2019-01-15 | 2019-05-21 | 昆明理工大学 | A kind of analysis method of the animal meat quality uniformity |
| CN111802590A (en) * | 2020-05-25 | 2020-10-23 | 江苏省农业科学院 | A method for improving meat quality by ultrasonic assisted heat treatment and a method for evaluating meat products based on quantitative indicators |
| CN116391740B (en) * | 2023-04-11 | 2023-09-19 | 浙江丰隆食品加工有限公司 | Beef processing system based on intelligent classification |
| CN119104335A (en) * | 2024-04-01 | 2024-12-10 | 江门市蓬江区裕威倡电器实业有限公司 | A method and system for evaluating stirring performance of a mixer |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103729642A (en) | Meat quality detection system and method based on ultrasonic signals | |
| Hansen et al. | Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device | |
| Chéné et al. | On the use of depth camera for 3D phenotyping of entire plants | |
| Kongsro | Estimation of pig weight using a Microsoft Kinect prototype imaging system | |
| CA2723452C (en) | Systems, methods and devices for use in assessing carcass grading | |
| CN107180438A (en) | Estimate yak body chi, the method for body weight and corresponding portable computer device | |
| CN102525034B (en) | Foot type parameter measuring device and measuring method | |
| CN108038875B (en) | Lung ultrasound image recognition method and device | |
| WO2018107872A1 (en) | Method and device for predicting body type | |
| CN105844534A (en) | Automatic cow body condition scoring method and scoring device | |
| KR101926015B1 (en) | Apparatus and method processing image | |
| CN114202691B (en) | Rice identification method, device and equipment based on remote sensing image | |
| CN104408473B (en) | Cotton grade sorting technique and device based on learning distance metric | |
| CN103269439A (en) | An objective and reference-free evaluation method for OCT image quality | |
| CN113706512B (en) | Live pig weight measurement method based on deep learning and depth camera | |
| CN111896549A (en) | A system and method for monitoring building cracks based on machine learning | |
| TWI542320B (en) | Human weight estimating method by using depth images and skeleton characteristic | |
| CN109740654A (en) | An automatic detection method of tongue body based on deep learning | |
| Pires et al. | Wound area assessment using mobile application | |
| CN107576660B (en) | An automatic visual detection method for double-yellow duck eggs based on distance contours | |
| CN104515472A (en) | Portable nondestructive detection method and device of pork dyad backfat thickness | |
| TW201308253A (en) | Locomotion analysis method and locomotion analysis apparatus applying the same method | |
| US8447075B2 (en) | Systems, methods and devices for using ultrasonic probe pressure information in assessing muscle tissue quality | |
| Mutsvangwa et al. | Precision assessment of stereo-photogrammetrically derived facial landmarks in infants | |
| KR20190065060A (en) | Apparatus and methdo for measuring body size using open source hardware |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Lei Inventor after: Liu Yaoli Inventor after: Zhou Yongjin Inventor after: Li Jizhou Inventor after: Chen Xing Inventor after: Li Xiaolong Inventor before: Liu Yaoli Inventor before: Zhou Yongjin Inventor before: Li Jizhou Inventor before: Chen Xing Inventor before: Li Xiaolong |
|
| COR | Change of bibliographic data | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20140416 |
|
| RJ01 | Rejection of invention patent application after publication |