PENERAPAN METODE CONTRAST STRETCHING, HISTOGRAM EQUALIZATION DAN ADAPTIVE HISTOGRAM EQUALIZATION UNTUK MENINGKATKAN KUALITAS CITRA MEDIS MRI
نویسندگان
چکیده
منابع مشابه
Contrast Limited Adaptive Histogram Equalization Clahe
Base class for Contrast Limited Adaptive Histogram Equalization. Equalizes the histogram of a grayscale image using Contrast Limited Adaptive Histogram. Hello all. I would like to implement an extension of the well-known CLAHE histogram equalization method in Matlab. Currently, Matlab provides routines. Adaptive Histogram Equalization. Contrast Limited Adaptive Histogram Equalization. Histogram...
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Histograms are the basis for numerous spatial domain image processing techniques. Histogram manipulation can be used effectively for image enhancement. In addition to providing image statistics, the information inherent in the histogram is also quiet useful in other image processing applications, such as image compression and segmentation. Histograms are simple in manipulation as well as econom...
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Contrast Limited Adaptive Histogram Equalization (CLAHE) is an adaptive histogram equalization which was proposed by K. Zuierveld. Block size and clip limit are used to control the quality of results of CLAHE, but have been experimentally determined by users. In this paper, we propose a method to determine two parameters of the CLAHE considering the characteristics of entropy of image. Experime...
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ژورنال
عنوان ژورنال: Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
سال: 2020
ISSN: 2549-3108,2252-4983
DOI: 10.24176/simet.v11i1.3153