کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4948203 1439612 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel image enhancement method using fuzzy Sure entropy
ترجمه فارسی عنوان
یک روش افزایش تصویر جدید با استفاده از آنتروپی فازی
کلمات کلیدی
افزایش کیفیت عکس، تئوری مجموعه فازی آنتروپی شانون، آنتروپی مطمئن مطمئنا فازی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی
Image enhancement is a very significant issue in image processing and analysis. In practice, many images (e.g.images captured from X-ray systems) are of low quality, such a slow-luminance and low-contrast, which must be enhanced before further processing. Fuzzy set theory is a useful tool for handling the ambiguity or uncertainty. Many researchers use the maximum Shannon entropy and fuzzy complement for image enhancement. But these methods are easy to be over-enhanced or under-enhanced or time-consuming. In this paper, a flexible method is proposed, which utilizes the maximum fuzzy Sure entropy, fuzzy c-partition and fuzzy complement (MSRM). Furthermore, a positive threshold value selection algorithm is developed to tune the enhancement performance of the proposed method. A variety of highly degraded images have been experimented by the proposed method. The comparisons of those experimental results show that the performance of our method overwhelms those of the existing ones.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 215, 26 November 2016, Pages 196-211
نویسندگان
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