A Fuzzy-Similarity-Based Approach for High-Speed Real-Time Image Processing

In this paper, we present a number of algorithms for performing some basic image processing tasks. The common denominator is the fuzzy similarity framework, that is used for representing vagueness and uncertainty associated with the similarity concept. The algorithms are designed so as to be implementable on FPGAs, making extensive use of the FPGA´s parallel processing capabilities. Due to the limited space, we give pointers to previously published work for more details about the algorithms