Fuzzy Entropy Based Optimal Thresholding Technique for Image Enhancement

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fuzzy Entropy Based Optimal Thresholding Technique for Image Enhancement

Soft computing is likely to play aprogressively important role in many applications including image enhancement. The paradigm for soft computing is the human mind. The soft computing critique has been particularly strong with fuzzy logic. The fuzzy logic is facts representationas a rule for management of uncertainty. Inthis paperthe Multi-Dimensional optimized problem is addressed by discussing...

متن کامل

Fuzzy Entropy Based Approach to Image Thresholding

Image thresholding plays very important role in many computer vision and image processing applications. Segmentation based on gray level histogram thresholding consists of a method that divides an image into two regions of interest; object and background. In image processing, we deal with many ambiguous situations. Fuzzy set theory is a useful mathematical tool for handling the ambiguity or unc...

متن کامل

A Novel Image Enhancement Technique for Ancient Images using Optimal Histogram Equalization and Fuzzy Enhancement Technique

Ancient image enhancement algorithm based on Optimal Histogram Equalization and Fuzzy Enhancement techniques were discussed in this paper, in-order to overcome the problems of poor contrast and sharpness in low quality images. This proposed method consist of two stages :the first, the technique of image Smoothing, where we make use of optimal histogram equalization and fuzzy enhancement techniq...

متن کامل

Density Based Fuzzy Thresholding for Image Segmentation

In this paper, we introduce an image segmentation framework which applies automatic threshoding selection using fuzzy set theory and fuzzy density model. With the use of different types of fuzzy membership function, the proposed segmentation method in the framework is applicable for images of unimodal, bimodal and multimodal histograms. The advantages of the method are as follows: (1) the thres...

متن کامل

Image enhancement and thresholding by optimization of fuzzy compactness

Algorithms based on minimization of compactness and of fuzziness are developed whereby it is possible to obtain both fuzzy and nonfuzzy (thresholded) versions of an ill-defined image. The incorporation of fuzziness in the spatial domain, i.e., in describing the geometry of regions, makes it possible to provide more meaningful results than by considering fuzziness in grey level alone. The effect...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: International Journal on Soft Computing

سال: 2015

ISSN: 2229-7103,2229-6735

DOI: 10.5121/ijsc.2015.6202