A light-stripe thinning method for line laser skin seam measurement

Abstract

The invention discloses a light strip thinning method for line laser skin seam measurement, which relates to the technical field of image processing. The area image adopts the adaptive total variation filter function to remove the noise of the light stripe image; the improved fuzzy C-means method is used to segment the light stripe image, and the light stripe is separated from the original image; the method based on the skeleton extraction template and the regional grayscale center of gravity is used Extract the center of the light bar to obtain the center pixel coordinates of the laser light bar on the skin surface line. The advantages of the invention are: 1) quickly identify the seam measurement area, and improve the efficiency of subsequent image processing; 2) can significantly remove the Gaussian noise and salt and pepper noise in the light bar image, and effectively improve the image signal-to-noise ratio; 3) Through the optimized image The fuzzy C-means algorithm improves the anti-interference of the light strip segmentation method to image noise.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a light stripe thinning method for line laser skin seam measurement. Background technique [0002] The line laser emitter projects structured light, which interferes with the seam of the skin. The image sensor collects the light bar image. The 2D structured light at the seam of the skin reflects the 3D contour information of the level difference and the gap at the seam. In this process, the image sensor itself and the external lighting environment will interfere with the skin measurement image, so that the image acquisition results contain noise, mainly Gaussian noise and salt and pepper noise. Therefore, the structured light measurement of aircraft skin seams Image processing and light strip feature extraction affect the accuracy and reliability of the entire seam measurement system. [0003] At present, there are two problems in the thinning of light strips: First, mo...

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Problems solved by technology

[0003] At present, there are two problems in light strip thinning: First, most image denoising methods generally directly perform correlation operations on the original image in the spatial domain, and then change the gray value of some pixels disturbed by noise to achieve image filtering effect , but these methods all cause the key features of the image to be blurred; second, the commonly used methods for extracting the center of the structured light strip, such as the center of gravity method, the extremum method, and the Hessian matrix method, are all based on the near-Gaussian distribution of the cross-sectional energy of the light strip. With the improvement of the quality of the line laser hardware itself, the energy distribution of the cross-section of the light bar projected by the laser has shown a non-Gaussian distribution at present, and it is impossible to accurately extract the center of the light bar by continuing to use the traditional method of extracting the center of the light bar.

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