سال انتشار: ۱۳۸۶

محل انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۶

نویسنده(ها):

Hadi Sadoghi Yazdi – Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran
Seyed Ebrahim Hosseini – Engineering Department, Tarbiat Moallem University of Sabzevar, Sabzevar, Iran

چکیده:

The aim of this paper is presentation of a new fuzzy image segmentation algorithm. In the proposed algorithm, human knowledge is used in clustering features for fuzzy image segmentation. In fuzzy clustering, the membership values of extracted features for each pixel at each cluster change proportional to zonal mean of membership values and gradient mean of adjacent pixels. The direction of membership variations are specified using human interaction. The proposed segmentation approach is applied for segmentation of texture and documentation images. Results show that the human interaction eventuates to clarification of texture and reduction of noise in segmented images.