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Wang Yan

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Proceedings Article | 10 October 2023 Paper

Image enhancement algorithm for crystallization state detection of penicillin salt solution

Wang Xiaojun, Du Yue, Wang Yan

Proceedings Volume 12799, 127990X (2023) https://doi.org/10.1117/12.3005863

KEYWORDS: Image enhancement, Detection and tracking algorithms, Image quality, Image processing, Crystallization, Image segmentation, RGB color model, Histograms, Tunable filters, Light sources and illumination

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The crystalline state detection of penicillin salt solution is performed on the basis of the acquired images of penicillin salt solution, and in order to improve the accuracy of subsequent detection, an image enhancement algorithm for crystalline state detection of penicillin salt solution is proposed for the problem of poor quality of penicillin salt solution images. Firstly, in order to remove the disturbing factors in the penicillin solution image and extract its target solution region, an automatic image segmentation algorithm based on OTSU algorithm and mathematical morphological processing is proposed; secondly, using the characteristics of three independent channels in HSV space, a linear grayscale transformation and mean filtering method is designed for the H component to realize the color adjustment of the target solution region, and the V component is used to enhance the image brightness by Finally, the enhanced target solution region is obtained by combining the components, and the final enhanced image is obtained by spatial transformation and mapping. The experimental results show that after the algorithm processing, the accuracy of crystallization detection of penicillin solution in uncrystallized state and crystallized state reaches 99.32% and 99.40% respectively, which is 30.72% and 9.22% higher than the accuracy before enhancement, which can effectively improve the accuracy of crystallization detection of penicillin solution.

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