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Similarity matching method of cutting tool pictures

A technology of similarity matching and tools, applied in the information field, it can solve the problem of not being able to cut tool classification, and achieve the effect of eliminating noise.

Active Publication Date: 2016-07-20
KUNMING UNIV OF SCI & TECH +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a similarity matching method of a cutting tool picture, which is used to solve the problem that the standard SIFT algorithm cannot perform a process on the cutting tool because the feature points are all concentrated in the local small details (smaller scale features) of the object. classification problem

Method used

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  • Similarity matching method of cutting tool pictures
  • Similarity matching method of cutting tool pictures
  • Similarity matching method of cutting tool pictures

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Experimental program
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Embodiment 1

[0063] Example 1: Such as Figure 1-13 As shown, a similarity matching method for cutting tool pictures, the specific steps of the similarity matching method for cutting tool pictures are as follows:

[0064] Step1. Generate a grayscale image based on the original three-channel color image;

[0065] Step2. On the generated grayscale image, remove the squares on both sides of the tool image to obtain an image containing the tool part;

[0066] Step3. Perform the gradient field operation of the GVF smooth image on the tool image that has been removed from the square, eliminate noise and small-scale details, and obtain an image with a clear tool outline;

[0067] Step4. Perform feature point detection on images with clear tool contours;

[0068] Step5. Assign the detected feature points to the main direction;

[0069] Step6: Generate feature descriptors according to the main direction of the feature points;

[0070] Step7. Use the Euclidean distance formula to match the feature points of the...

Embodiment 2

[0105] Embodiment 2: A method for matching similarity of cutting tool pictures. This embodiment is the same as Embodiment 1, except that this embodiment uses the actual cutting tool for similarity comparison as an example for explanation;

[0106] Step1. Generate a grayscale image based on the initial three-channel color image, such as figure 1 Shown

[0107] Step1.1. Use the upper left corner of the image as the origin, the horizontal direction as the x-axis, and the vertical direction as the y-axis to construct a Cartesian coordinate system;

[0108] Step1.2, through the formula: gray = 0.27*red+0.71*green+0.07*blue to convert the color image into a gray image;

[0109] Among them: gray is the gray value, red is the red channel value, green is the green channel value, and blue is the blue channel value. The color image is converted to a grayscale image. This conversion method can greatly preserve the contrast information of the image. Then, each pixel is divided by 1000, and the pi...

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Abstract

The invention relates to a similarity matching method of cutting tool pictures, and belongs to the technical field of information. First of all, a gray-scale map is generated; then an image including a tool portion is obtained by removing angle squares at the two sides of a tool image; then performing gradient field operation of a GVF smooth image, eliminating details with quite small noise and scales, and obtaining an image with clear tool contour; then carrying out feature point detection; performing main direction distribution on detected feature points; according to main directions of the feature points, generating feature descriptors; and obtaining the size of similarity by performing feature point matching on feature vectors in the feature point descriptors by use of an Euclidean distance formula. The method can effectively solve the problem of incapability of classifying cutting tools due to concentration of the feature points in local small details (features with quite small scales) of an object by use of a standard SIFT algorithm, completes a comparison algorithm of image similarities through GVF-Harris-SIFT, and finally realizes type classification of the cutting tools of an engineering project.

Description

Technical field [0001] The invention relates to a similarity matching method of cutting tool pictures, which belongs to the field of information technology. Background technique [0002] The standard SIFT (Scale Invariant Feature Transform) algorithm has the invariance of features such as scale, rotation, and illumination. It is widely used in the field of object recognition, but many of its feature points are concentrated in the local small details of the object (features with smaller scales) . In this case, the standard SIFT algorithm cannot effectively classify the cutting tools, because the tools of the same category only have similarity in terms of contours, and more small-scale feature points will seriously interfere with the calculation of image similarity. [0003] A cutting tool image similarity comparison algorithm uses a special feature extraction method GVF-Harris-SIFT to smooth the gradient field of the image through GVF (gradient vector flow), and then use the Harris...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/462G06F18/22
Inventor 潘楠杨敬树莫晓聃羿泽光王森王莉
Owner KUNMING UNIV OF SCI & TECH
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