TWI722729B - Stone image analysis method based on stone processing - Google Patents

Abstract

A stone image analysis method based on stone processing is executed by an image analysis system. The image analysis system includes a shooting unit. The method is suitable for analyzing an image of a stone to be processed taken by the shooting unit, and includes The following steps: (A) Obtain at least one shooting setting data according to the image of the stone to be processed; (B) Shoot the stone to be processed according to the at least one shooting setting data to obtain at least one pair of target images that should be at least one shooting setting data; (C) Perform gray-scale and binarization conversion on the at least one target image to obtain at least one converted image; and (D) analyze the at least one converted image to generate an image including an image related to the stone to be processed The analysis data of the edge position information of the edge position.

Description

Stone image analysis method based on stone processing

The invention relates to an image analysis method, in particular to a stone image analysis method based on stone processing.

In the stone processing industry, the industry must measure the shape and size of the stone before processing the stone. The existing measurement method is to manually measure the stone with a ruler to obtain the shape and size of the stone.

However, it is very time-consuming to measure the shape and size of the stone manually. Moreover, because the shape of the stone changes a lot, it is more time-consuming and labor-intensive to measure the irregular and complex shape of the stone.

In view of this, how to provide a method that can improve the efficiency of measuring stone is the primary subject of this creation.

Therefore, the purpose of the present invention is to provide a stone image analysis method based on stone processing that can improve the efficiency of measuring stone.

Therefore, the stone image analysis method based on stone processing of the present invention is executed by an image analysis system. The image analysis system includes a photographing unit. The method is suitable for analyzing an image of a stone to be processed taken by the photographing unit of a stone to be processed. , And includes one step (A), one step (B), one step (C), and one step (D).

In the step (A), the image analysis system obtains at least one shooting setting data according to the image of the stone to be processed.

In the step (B), the image analysis system photographs the stone to be processed according to the at least one photographing setting data to obtain at least one target image corresponding to the at least one photographing setting data.

In the step (C), the image analysis system performs gray-scale and binarization conversion on the at least one target image to obtain at least one converted image.

In the step (D), the image analysis system analyzes the at least one converted image to generate an analysis data including edge position information related to the edge position of the stone to be processed.

The effect of the present invention is that after analyzing the at least one converted image by the image analysis system, the analysis data including the edge position information is generated to quickly obtain the shape and size of the stone to be processed.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are represented by the same numbers.

Referring to FIG. 1, an embodiment of the stone image analysis method based on stone processing of the present invention consists of an image analysis system 1. The image analysis system 1 includes a storage unit 11, a shooting unit 12, and an electrical connection to the storage unit 11 And the processing unit 13 of the photographing unit 12, this embodiment of the stone image analysis method based on stone processing of the present invention is suitable for analyzing a stone to be processed image of a stone to be processed taken by the photographing unit 12 (as shown in FIG. 2 ).

The storage unit 11 stores a processing parameter data. The processing parameter data includes a cutting shape and a cutting size related to the cutting shape. The cutting shape is, for example, any shape such as a rectangle, a circle, a triangle, or an ellipse.

The photographing unit 12 includes a field light source device and a charge-coupled device (CCD). It is worth noting that in this embodiment, the user can control the field light source device according to requirements, so that the field light source device provides the best light source.

1 and 3, it is explained how the image analysis system 1 implements the embodiment of the stone image analysis method based on stone processing of the present invention. The steps included in this embodiment are described in detail below.

In step 21, the processing unit 13 obtains at least one shooting setting data according to the image of the stone to be processed, and each shooting setting data includes at least one of a shutter speed and an aperture value related to the image shooting unit 12. It is worth noting that in this embodiment, the processing unit 13 obtains a first shooting setting data and a second shooting setting data according to the image of the stone to be processed. In other embodiments, the processing unit 13 may also be based on The image of the stone to be processed only obtains a shooting setting data, which is not limited to this.

In step 22, the processing unit 13 controls the photographing unit 12 to photograph the stone to be processed according to the at least one photographing setting data to obtain at least one target image corresponding to the at least one photographing setting data. It is worth noting that in this embodiment, the processing unit 13 controls the photographing unit 12 to photograph the stone to be processed according to the first photographing setting data and the second photographing setting data to obtain a corresponding first photographing setting. The first target image of the data and the second target image corresponding to the second shooting setting data. In other embodiments, the processing unit 13 may also obtain a target image only according to the shooting setting data, and it is not limited to this.

In step 23, the processing unit 13 performs grayscale and binarization conversion on the at least one target image to obtain at least one converted image. It is worth noting that in this embodiment, the processing unit 13 gray-scales and binarizes the first target image and the second target image to obtain a first conversion corresponding to the first target image The rear image (as shown in FIG. 4) and the second converted image (as shown in FIG. 5) corresponding to the second target image. In other embodiments, the processing unit 13 may also obtain one based on the target image only. The converted image is not limited to this.

In step 24, the processing unit 13 analyzes the at least one converted image to generate an analysis data, the analysis data includes an edge position information related to the edge position of the stone to be processed, and an edge position information related to at least one defect pattern Defect location information of the location. It is worth noting that in this embodiment, the processing unit 13 analyzes the first converted image to obtain the edge position information, and analyzes the second converted image to obtain the defect position information. In other embodiments, the The processing unit 13 can also generate analysis data including only edge position information according to the converted image, and it is not limited to this.

It is worth mentioning that the feature of the present invention does not lie in converting the edge position of the stone to be processed in the at least one converted image and the position of the at least one defect pattern into actual The above conversion method of the relative position of the stone to be processed is for the sake of brevity, so their details are omitted here.

In step 25, the processing unit 13 generates processing path position information related to a processing path based on the analysis data and the processing parameter data. The processing path related to the processing path position information is related to the processing parameter data. Cut shape.

Refer to FIG. 6 in conjunction, step 25 includes the following sub-steps.

In step 251, the processing unit 13 obtains a rectangle related to the position of a largest inscribed rectangle (as shown in FIG. 7) in the stone to be processed based on the edge position information and the defect position information of the analysis data. Location information, wherein the at least one defect pattern is not included in the largest inscribed rectangle. It should be particularly noted that in this embodiment, the processing unit 13 uses the traversal center diffusion method or the rotation histogram method to obtain the maximum inscribed rectangle. It is worth noting that in other embodiments, the processing unit 13 may also obtain the rectangular position information only according to the edge position information of the analysis data, and it is not limited to this.

In step 252, the processing unit 13 generates the processing path position information according to the processing parameter data and the rectangle position information, wherein the processing path is within the maximum inscribed rectangle.

In summary, the stone image analysis method of the present invention is based on stone processing. After the processing unit 13 analyzes the at least one converted image, the analysis data is generated to quickly obtain the edge position information of the analysis data. According to the shape and size of the stone to be processed, the rectangle position information is obtained according to the defect position information of the analysis data. Finally, the processing path position information is automatically generated according to the processing parameter data and the rectangle position information, so it can indeed achieve the invention the goal of.

However, the above are only examples of the present invention. When the scope of implementation of the present invention cannot be limited by this, all simple equivalent changes and modifications made in accordance with the scope of the patent application of the present invention and the content of the patent specification still belong to Within the scope of the patent of the present invention.

1: Image analysis system

11: storage unit

12: Shooting unit

13: processing unit

21~25: Step

251, 252: Steps

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: FIG. 1 is a block diagram illustrating an image analysis system used to implement an embodiment of the stone image analysis method based on stone processing of the present invention; Figure 2 is a schematic diagram illustrating an image of a stone to be processed; Figure 3 is a flowchart illustrating the embodiment of the stone image analysis method based on stone processing of the present invention; Figure 4 is a schematic diagram illustrating a first converted image; Figure 5 is a schematic diagram illustrating a second converted image; Fig. 6 is a flowchart to assist in explaining the sub-steps of step 25 in Fig. 3; and Fig. 7 is a schematic diagram illustrating a largest inscribed rectangle in a stone to be processed.

21~25: Step

Claims (8)

A stone image analysis method based on stone processing is executed by an image analysis system, the image analysis system stores a processing parameter data, the image analysis system includes a shooting unit, the method is suitable for analyzing a shooting by the shooting unit to be processed An image of the stone to be processed, and includes the following steps: (A) Obtain at least one shooting setting data according to the image of the stone to be processed; (B) Shoot the stone to be processed according to the at least one shooting setting data to obtain at least one pair At least one target image of the setting data should be captured; (C) the at least one target image is gray-scaled and binarized to obtain at least one converted image; (D) the at least one converted image is analyzed to generate a Including an analysis data of edge position information related to the edge position of the stone to be processed; and (E) generating a processing path position information related to a processing path based on the edge position information of the analysis data and the processing parameter data . The stone image analysis method based on stone processing according to claim 1, wherein, in step (A), each shooting setting data includes at least one of a shutter speed and an aperture value related to the image shooting unit . The stone image analysis method based on stone processing according to claim 1, wherein step (E) includes the following sub-steps: (E-1) according to the edge position information of the analysis data, obtain an information related to the stone to be processed Rectangle position information of the position of the largest inscribed rectangle within; and (E-2) According to the processing parameter data and the rectangle position information, generate the processing path position information. According to the stone image analysis method based on stone processing according to claim 3, the processing parameter data includes a cutting shape and a cutting size related to the cutting shape, wherein, in step (E-2), the processing path The processing path related to the position information is related to the cutting shape, and the processing path is within the maximum inscribed rectangle. The stone image analysis method based on stone processing according to claim 1, wherein, in step (A), the image analysis system obtains a first shooting setting data and a second shooting setting data according to the image of the stone to be processed In step (B), the image analysis system shoots the stone to be processed according to the first shooting setting data and the second shooting setting data to obtain a first target image and a first target image corresponding to the first shooting setting data Corresponding to the second target image of the second shooting setting data, in step (C), the image analysis system performs gray-scale and binarization conversion on the first target image and the second target image to obtain a The first converted image corresponding to the first target image and the second converted image corresponding to the second target image. In step (D), the analysis data further includes defect location information related to at least one defect pattern And the image analysis system analyzes the first converted image to obtain the edge position information, and analyzes the second converted image to obtain the defect position information. For the stone image analysis method based on stone processing described in claim 5, the image analysis system stores a processing parameter data, and further includes the following steps after step (D): (F) According to the edge position information and the defect position information of the analysis data, and the processing parameter data, generate a processing path position information related to a processing path. The stone image analysis method based on stone processing according to claim 6, wherein, step (F) includes the following sub-steps: (F-1) obtaining a correlation based on the edge position information and the defect position information of the analysis data Rectangular position information of the position of a largest inscribed rectangle in the stone to be processed; and (F-2) generate the processing path position information based on the processing parameter data and the rectangular position information. The stone image analysis method based on stone processing according to claim 7, wherein, in step (F-1), the at least one defect pattern is not included in the largest inscribed rectangle.

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