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9 October 2022 Research on adaptive image enhancement algorithm in laser stripe extraction
Wenwei Yan, Shuai Chen, Baoyan Mu, Liang Gao
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Proceedings Volume 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022); 122461D (2022) https://doi.org/10.1117/12.2643623
Event: 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 2022, Qingdao, China
Abstract
In line structured light vision measurement, an adaptive image enhancement algorithm is proposed to address the problem that the conventional image enhancement algorithm is ineffective in enhancing the laser stripe features in the unevenly illuminated images acquired by the system. The algorithm separates the channels in HSV color space, processes the separated S and V channels separately using an iterative adaptive histogram equalization algorithm to enhance the image saturation and brightness, and merges the equalized S1 and V1 channels with the original H channel to convert the image to RGB color space to complete the image enhancement. The experimental result shows that the information entropy index value S of the proposed algorithm is higher than those of other comparative algorithms, and the algorithm performs better in laser stripe image enhancement with better robustness.
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Wenwei Yan, Shuai Chen, Baoyan Mu, and Liang Gao "Research on adaptive image enhancement algorithm in laser stripe extraction", Proc. SPIE 12246, 2nd International Conference on Signal Image Processing and Communication (ICSIPC 2022), 122461D (9 October 2022); https://doi.org/10.1117/12.2643623
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KEYWORDS
Image enhancement
RGB color model
Image processing
Image information entropy
Image segmentation
Image processing algorithms and systems
Image analysis
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