Algorithms for finding most dissimilar images with possible applications to chromosome classification

Applications of Fuzzy Set Theory to Image Sciences

“…Algorithm for finding most dissimilar images may be found in (16). The application of fuzzy sets to pattern recognition, pattern storage, and pattern retrieval offers what appears to be a fertile field for further study.…”

Fuzzy Symmetric Functions with Don't‐care Conditions and Applications

“…Applications of fuzzy symmetric functions to the representation of logic functions, data reduction [6,7] and error correction are also presented. The results may have useful applications to fuzzy-logic computer-aided design [8], finding most-unsymmetrical images [9,10] and fuzzy neural networks [11,12],…”

Application of Fuzzy Languages to Pattern Recognition

“…21. In terms of biangles, a chromosome image consists of two exterior biangles and two interior biangles.…”

“…The dissimilarity of biangles and its geometric inter pretation may be found in Ref. 21. Biangles may be classified into 180° biangles, >180° biangles and <180° biangles according to its angular sum.…”

“…It is of interest to note that the similarity of two biangles depends only on their angular sum. 21 Furthermore, the angular similarity of two chromosome images depends only on their angular sum of exterior bi angles and interior biangles. 21 By using chromosome images as a framework, algorithms for finding most dissimilar images were presented and illustrated by examples in Ref.…”