کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
390885 661313 2010 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy filter based on interval-valued fuzzy sets for image filtering
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Fuzzy filter based on interval-valued fuzzy sets for image filtering
چکیده انگلیسی

A new fuzzy image filter controlled by interval-valued fuzzy sets (IVFS) is proposed for removing noise from images. The proposed approach is based on IVFS entropy application. IVFS makes it possible to take into account the total uncertainty inherent to image processing, and particularly noise removal is considered. Interval-valued fuzzy sets entropy is used as a tool to perform histogram analysis in order to find all major homogeneous regions at the first stage. Then, an efficient peak-finding algorithm is employed to identify the most significant peaks of the histogram (1) and a noise filtering process (2) that estimates the original value of each noisy pixel (utilizing the global information from (1) and the local information of the image pixels) is proposed. Experimental results have demonstrated that the proposed filter can outperform some well-known classical and fuzzy filters in preserving image details while suppressing impulse noise and reducing Gaussian noise. The main advantage of the proposed technique is to restrict the number of thresholds or parameters which have to be tuned.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Fuzzy Sets and Systems - Volume 161, Issue 1, 1 January 2010, Pages 96-117