Title :
Genetic-based fuzzy hit-or-miss texture spectrum for texture analysis
Author :
Lee, Yih-Gong ; Lee, Jia-Hong ; Hsueh, Yuang-Cheh
Author_Institution :
Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
11/9/1995 12:00:00 AM
Abstract :
A new method using a fuzzy hit-or-miss transform recognition procedure, which measures degrees of fit of specified patterns within an image, is proposed for texture analysis. For a given texture, three optimal texture patterns (structuring elements) dynamically generated by genetic algorithms are used to inspect the degrees of fit by using the fuzzy hit-or-miss transform, respectively. The distribution of these degrees of fit, converted into a texture spectrum, is used as the texture feature for texture analysis
Keywords :
fuzzy set theory; genetic algorithms; image texture; fuzzy hit-or-miss transform recognition procedure; genetic algorithms; genetic-based texture spectrum; optimal texture patterns; texture analysis;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19951398
