Quantitative fuzzy measures for threshold selection

• Published in: Pattern recognition letters Vol. 21; no. 1; pp. 1 - 7
• Main Authors: Ramar, K., Arumugam, S., Sivanandam, S.N., Ganesan, L., Manimegalai, D.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.01.2000
• Subjects: Fuzzy measures; Fuzzy neuro approach, comparison of performance; Image enhancement; Threshold, object extraction; Threshold, object extraction; Fuzzy neuro approach, comparison of performance; Fuzzy measures; Image enhancement

Discrimination of Image Qualities for some applications in Computer Vision is very much important. The process of evaluation of image quality is very difficult as it possesses noise which is fuzzy in nature. Threshold selection for object extraction, for a bimodal or multi modal histogram is still a...