標題: GENETIC-BASED FUZZY HIT-OR-MISS TEXTURE SPECTRUM FOR TEXTURE ANALYSIS
作者: LEE, YG
LEE, JH
HSUEH, YC
交大名義發表
資訊工程學系
National Chiao Tung University
Department of Computer Science
關鍵字: GENETIC ALGORITHMS;TEXTURE (IMAGE PROCESSING)
公開日期: 9-十一月-1995
摘要: 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.
URI: http://dx.doi.org/10.1049/el:19951398
http://hdl.handle.net/11536/1658
ISSN: 0013-5194
DOI: 10.1049/el:19951398
期刊: ELECTRONICS LETTERS
Volume: 31
Issue: 23
起始頁: 1986
結束頁: 1988
顯示於類別:期刊論文


文件中的檔案:

  1. A1995TF16300016.pdf