Gray level run length matrix based on various illumination normalization techniques for texture classification

• Published in: Evolutionary intelligence Vol. 14; no. 2; pp. 217 - 226
• Main Authors: Dash, Sonali, Senapati, Manas Ranjan
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2021; Springer Nature B.V
• Subjects: Applications of Mathematics; Artificial Intelligence; Bioinformatics; Classification; Control; Engineering; Feature extraction; Illumination; Mathematical and Computational Engineering; Mechatronics; Robotics; Special Issue; Statistical Physics and Dynamical Systems; Texture; 2D wavelet; Feature extraction; Texture classification; Gray level run length matrix; Tan and Triggs

Texture classification under varying illumination conditions is one of the most important challenges. This paper presents a new texture classification approach by taking the combinations of robust illumination normalization techniques applied on gray level run length matrix (GLRLM) for texture featu...