Edge color difference detection of color image based on artificial intelligence technology

Article type: Research Article

Authors: Li, Hao

Affiliations: College of Humanities, Minjiang University, Fuzhou, Fujian, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: College of Humanities, Minjiang University, Fuzhou, Fujian, China. E-mail: [email protected].

Abstract: In order to solve the problems of the traditional methods in detecting color image edge chromatic aberration, such as the poor accuracy of detection and the poor detection effect, a color image edge chromatic aberration detection method based on artificial intelligence technology is proposed. The approximate principal component analysis method is used to segment the color image and smooth the image denoising; The linear gray-scale transformation is applied to the color image to enlarge the smaller gray-scale space to the larger gray-scale space according to the linear relationship and obtain the edge information of the color image; The artificial intelligence technology is used to locate the edge sub-pixel of the image to complete the edge color difference detection of the color image. The experimental results show that the detection accuracy of the proposed method is about 98%, and the detection effect is good, which is feasible.

Keywords: Artificial intelligence technology, color image, edge color difference, approximate principal component, approximate principal component, location

DOI: 10.3233/JCM-215189

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 3, pp. 787-802, 2021