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Issue title: Fuzzy model for human autonomous computing in extreme surveillance and it’s applications
Guest editors: Varatharajan Ramachandran
Article type: Research Article
Affiliations: Shool of Communication Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong, China
Correspondence: [*] Corresponding author. Li Bo, Shool of Communication Engineering, Shenzhen Polytechnic, Shenzhen, Guangdong, China. E-mail: lb0673@126.com.
Abstract: In today’s society, graphic design, as a popular image processing technology, plays an increasingly important role in people’s lives. In the specific operation process of graphic design, It is no longer restricted to the traditional development mode, such as file format and other factors. With the development of computer network technology, people promote the development of graphic design by constructing color management system. At the same time, the construction of color management system can help people to change colors and define colors when they process image information and output pictures. In the process of printing pictures, in order to make the colors used in the design process clearly printed out and without color difference, there are still many problems to be considered. First, we need to consider the unexpected situation and the complexity of image processing. Based on the introduction of computer learning, this paper will discuss and study the development of graphic design by SVM theory.
Keywords: Machine learning, SVM, color image design, image processing
DOI: 10.3233/JIFS-189515
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6827-6838, 2021
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