A parallel architecture for texture analysis based on the concept of associative memory

Abstract

A special architecture for texture analysis and recognition that is inherently parallel and aimed at hardware implementation is described. It has the advantage of making possible real-time recognition (at frame rates). The architecture is based on the concept of associative memory, which has learning and recognizing capabilities. This architecture achieved high rates of recognition. With image processing, over 90% correct classification was obtained. Starting from the concept of associative memory, several implementations were considered and compared.<>