ABSTRACT
The problem considered in this chapter how is to find and measure the similarity between two images. The image correspondence problem is a central and important area of research in computer vision. To solve the image correspondence problem, a biologically inspired approach using near sets and tolerance classes is proposed in this chapter. The proposed method is developed in the context of perceptual systems (Peters and Ramanna, 2008), where each image or parts of an image are considered as perceptual objects (Peters and Wasilewski, 2009). ”A perceptual object is something presented to the senses or knowable by human mind” (Peters and Wasilewski, 2009; Murray, Bradley, Craigie, and Onions, 1933). The perceptual system approach presented here is inspired by the early 1980s work of Z. Pawlak (Pawlak, 1981) on the classification of objects by means of attributes and E. Or lowska (Or lowska, 1982) on approximate spaces as formal counterparts of perception and observation.
