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Article type: Research Article
Authors: Zhang, Ya; * | Xiong, Qiang
Affiliations: He Xiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, China
Correspondence: [*] Corresponding author. Ya Zhang, He Xiangning College of Art and Design, Zhongkai University of Agriculture and Engineering, Guangzhou, 510225, China. E-mail: [email protected].
Abstract: The traditional method of Guangdong embroidery image color perception recognition has poor stereoscopic color reduction. Therefore, this paper introduces discrete mathematical model to design a new method of Guangdong embroidery image color perception recognition. Through histogram equalization, the input image with relatively concentrated gray distribution is transformed into the histogram output image with approximately uniform distribution to enhance the dynamic range of pixel gray value. The image of Yuexiu is smoothed and filtered by median filtering method to remove the noise in the image of Yuexiu. The RGB spatial model and HSI spatial model of image color are constructed by normalizing the coordinates and color attributes of pixels. The RGB color space and HSI color space are transformed, and the image color perception recognition model is established to realize the color perception recognition of Guangdong embroidery image. The experimental results show that the pixels of each color in the color pixel image curve of the proposed method are as high as 800, the color pixel image curve distribution is the most intensive, and the color restoration is high.
Keywords: Discrete mathematical model, Guangdong embroidery image, color perception and recognition, histogram coefficient, probability density function
DOI: 10.3233/JIFS-191484
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 3887-3897, 2021
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