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Laser marking system and method based on feature point extraction algorithm detection

A feature point extraction, laser marking technology, applied in the field of image recognition, can solve the problems of high recognition accuracy and efficiency, large data storage, strong noise interference, etc., to improve marking accuracy, low latitude, high recognition accuracy The effect of rate and efficiency

Active Publication Date: 2020-10-27
WUHAN TEXTILE UNIV
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AI Technical Summary

Problems solved by technology

[0010] (1) It cannot guarantee high recognition accuracy and efficiency at the same time
[0011] (2) Large amount of data storage
[0012] (3) Strong noise interference
[0013] (4) It is difficult to adapt to the new model
[0014] (5) The recognition accuracy is not enough

Method used

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  • Laser marking system and method based on feature point extraction algorithm detection
  • Laser marking system and method based on feature point extraction algorithm detection
  • Laser marking system and method based on feature point extraction algorithm detection

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example

[0128] see figure 1 Shown, a kind of feature point extraction algorithm, described method comprises the steps:

[0129] S1. Acquire an image to be recognized, and perform binarization processing on the image.

[0130] It should be noted that the binarization algorithm used here is a fixed threshold algorithm, and the segmentation method used is bimodal image segmentation. By setting the minimum threshold T in the external configuration file, it meets the minimum number of corresponding pixels. The image is binarized using a threshold T. Such as figure 2 It is a schematic diagram of image binarization in the present invention.

[0131] S2. Obtain all contours from the binarized image, and obtain coordinates of all contour points.

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Abstract

The invention belongs to the technical field of image recognition, and discloses a laser marking system and method based on feature point extraction algorithm detection. The method includes extractingan unclosed contour from the to-be-identified workpiece image; obtaining coordinates of all contour points on the contour; calculating an area parameter of each contour; screening the optimal contourout through the area, calculating the moment and the centroid of the contour, finally, extracting the needed significant feature points through the relation between the contour points and the centroid, so that the shape of the workpiece to be identified is effectively extracted and expressed, and the relation between the feature points and the centroid is calculated to determine the effective marking area, and the final marking precision is improved. Moreover, the latitude of the used characteristic parameters is low, and the invention can guarantee the higher recognition accuracy and efficiency at the same time. The invention has excellent performances such as translation invariance and rotation invariance while effectively extracting and representing the shape characteristics of the workpiece, and can effectively inhibit noise interference.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a laser marking system and method based on feature point extraction algorithm detection. Background technique [0002] At present, the detection and extraction of image features is an important research topic in the field of computer vision, and has a wide range of applications in the field of artificial intelligence, including machine vision, OCR technology, and monitoring technology. [0003] As pictures become the main information carrier on the Internet, difficulties arise. When the information is recorded in words, we can easily find the desired content through keyword search and edit it arbitrarily, but when the information is recorded in pictures, we cannot retrieve the content in the pictures, which affects our understanding of the content in the pictures. Efficiency in finding key content. Pictures bring us a quick way to record and share informat...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/44G06F18/241Y02P90/30
Inventor 张弛陈思远宛张灵吴晓光朱里
Owner WUHAN TEXTILE UNIV
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