The Applications of Fuzzy Techniques to Image Processing Based on the Human Visual System Model

Abstract

This chapter discusses the human visual system model and the applications of fuzzy techniques to image processing based on this system. The human visual model provides a unifying basis for the understanding of the visual process itself as well as for the application of the knowledge to the processing of images. Most of the complexities of human visual behavior have been mathematically modeled in sufficient quantitative detail and comprehensively organized on a digital computer. Human vision acts not only as an organ of contact with the outer world but also as an intermediary of recognition, learning, and amusement. As the knowledge of the human visual process continues to grow, more of its complexity and adaptive nature may surely be modeled. As the field of digital image processing advances because of technical progress in the development of its hardware and in its processing algorithms, there is a simultaneous increase in efforts aimed at developing sophisticated real-time automatic systems capable of emulating human abilities or imitating human thought. Energy from the three-dimensional world is converted by the visual system into two-dimensional entities called “images.”