Si3N4 Ceramic Ball Surface Defects’ Detection Based on SWT and Nonlinear Enhancement
Open Access
- 13 September 2021
- journal article
- research article
- Published by Hindawi Limited in Mathematical Problems in Engineering
- Vol. 2021, 1-9
- https://doi.org/10.1155/2021/4922315
Abstract
In order to improve the detection accuracy and efficiency of silicon nitride ceramic ball surface defects, a defect detection algorithm based on SWT and nonlinear enhancement is proposed. In view of the small surface defect area and low contrast of the silicon nitride ceramic ball, a machine vision-based nondestructive inspection system for surface images is constructed. Sobel operation is used to eliminate the nonuniform background, and the silicon nitride ceramic ball surface image is decomposed by SWT. And frequency-domain index low-pass filtering is used to modify the decomposition coefficients, and an adaptive nonlinear model is proposed to enhance defects; finally, the image is reconstructed and segmented by the stationary wavelet inverse transform and the dynamic threshold method, respectively. The enhanced algorithm can effectively identify surface defects and is superior to traditional defect detection algorithms.Keywords
Funding Information
- National Natural Science Foundation of China (51964022)
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