Technologies in Texture Analysis – A Review
Tuhin Utsab Paul *
Department of ECE, Institute of Engineering and Management, Kolkata, India
Pranavesh Banerjee
Department of ECE, Institute of Engineering and Management, Kolkata, India
Anannya Mukherjee
Department of ECE, Institute of Engineering and Management, Kolkata, India
Samir Kr. Bandhyopadhyay
Department of CSE, University of Calcutta, Kolkata, India
*Author to whom correspondence should be addressed.
Abstract
Texture analysis is one of the promising field of digital image processing. The main target of texture analysis or recognition is to understand, process and model texture, and ultimately simulate human visual learning process using different computer technologies, which are generally done through different texture analysis methods like spatial method, structural method, statistical method. In this paper, we had analyzed the different problem areas in this field, to highlight the gap or shortcomings in technology and the possible ways to bridge those gaps in technology.
Keywords: Image processing, Image segmentation, texture recognition, color image processing, appearance based modeling, bidirectional texture, pulse function, pulse image processing, BTF, Neural networks