Abstract
There is color difference in the image collected under the background of night light. Machine learning and fusion tracking compensation method are used to detect and process the maximum color difference of the image, so as to improve the imaging quality of the image. A maximum color difference detection algorithm for nightlight background color difference image based on machine learning and fusion tracking compensation is proposed. Firstly, image feature acquisition and color difference feature blending preprocessing are carried out, image machine learning and fusion tracking compensation are carried out, and image color difference detection algorithm is used for image color difference smoothing and adaptive blending. The background color difference image of night light is automatically divided into target space by feature clustering, and the maximum color difference detection of the detail features of the image is carried out to the greatest extent. The simulation results show that the algorithm has high accuracy and good color difference resolution.
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High Level Backbone Major of Higher Vocational Education in Yunnan Province—Construction Project of Major in Print Media Technology.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, J., Zhang, Q. (2019). Intelligent Detection Method for Maximum Color Difference of Image Based on Machine Learning. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_18
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DOI: https://doi.org/10.1007/978-3-030-36405-2_18
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