کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
395552 665990 2010 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Fuzzy Aggregation with Artificial Color filters
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Fuzzy Aggregation with Artificial Color filters
چکیده انگلیسی

Artificial Color filters are designed to attenuate some pixels and pass others. The pass/attenuate decision is made on the basis of the learned association of spectral components with user-defined concepts. In earlier work, it has been shown that there are various ways to design Artificial Color filters using multiple user-designated classes and those filters are subjected to useful manipulations such as image processing and Boolean Aggregation.The Artificial Color filtering has always been binary. Therefore, the Boolean logic was the only choice for aggregating filters. This paper shows how to fuzzify Artificial Color filters. Fuzzy logic subsumes Boolean logic and can do so in many ways. Several different fuzzy T-norms are applied to Artificial Color filters to illustrate the richness in aggregation. Margin Setting, a supervised statistical pattern recognition method to train the filters, is very conservative in what is definitely assigned to a class (μ=1)(μ=1) while allowing a useful gradation of membership (μ⩽1)(μ⩽1) for other cases. A parametric exploration of these effects for an image is presented.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 180, Issue 1, 2 January 2010, Pages 167–180
نویسندگان
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