Two Image-Template Operations for Binary Image Processing

Abstract

This paper presents two new image algebra image-template operations match and mismatch derived from the general image-template product. These image algebra operations extend the binary morphological erosion and dilation operations and can be used to express elegantly most of binary image processing algorithms in a more natural way than binary morphological operations from the image processing viewpoint. In addition, the match and mismatch operations are easy to implement efficiently on SIMD bit-serial parallel computers. Keywords image algebra, mathematical morphology, binary image processing 1 . Introduction Binary image processing involves manipulating binary images consisting of only 1-pixels and 0-pixels. Binary image processing techniques are employed by binary machine vision systems in the detection and recognition of objects or object defects [3]. Binary morphology is an algebraic system concerning with analysis of shapes. It plays an important role in machine vision, since sh..