LETRIST : locally encoded transform feature histogram for rotation-invariant texture classification

• Main Authors: Song, Tiecheng, Li, Hongliang, Meng, Fanman, Wu, Qingbo, Cai, Jianfei
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Texture Classification; Texture Analysis
• Online Access: https://hdl.handle.net/10356/142172
• Institution: Nanyang Technological University

Classifying texture images, especially those with significant rotation, illumination, scale, and viewpoint changes, is a fundamental and challenging problem in computer vision. This paper proposes a simple yet effective image descriptor, called Locally Encoded TRansform feature hISTogram (LETRIST),...