A steel classification algorithm based on surface defects. Issue 1 (May 2021)

• Record Type: Journal Article
• Authors: Qinge, Wu; Ziming, An; Lintao, Zhou; Hu, Chen; Yingbo, Lu; Zhiyuan, Ma
• Is Part Of: Journal of physics. Volume 1939:Issue 1(2021)
• Publication Date: 2021-05
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1939/1/012082
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In the research of image recognition and classification, image retrieval, image data mining, and so on, feature extraction is the basic work, among which the texture feature of an image is of great significance to describe the content of the image. In this paper, an extraction method of steel texture features based on a gray co-occurrence matrix is presented, and the influence of various structural parameters on the structure is analyzed. The feature extraction of specific texture images based on a gray level co-occurrence matrix is realized, and the data classification is carried out by using a probabilistic neural network.