Similarity And Invariance In Pattern Recognition
Henri H. Arsenault, Luc Leclerc, Yunlong Sheng · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
The arbitrary nature of the concept of similarity is discussed, and its consequences on the exploitation of invariants in pattern recognition. After briefly reviewing the main invariants of interest in automated pattern recognition, methods of achieving invariant pattern recognition are reviewed, with emphasis on the use of matched spatial filters made with Circular harmonic components. The progress in using such filters and their derivatives with sidelobe-rejection capability on images of increasing complexity, from simple binary shapes to complex grey-level objects on highly cluttered backgrounds, is described.