Contrast Improvement of Mammography Images Using a New Adaptive Technique
Publish place: Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge
Publish Year: 1396
Type: Conference paper
Language: English
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Document National Code:
COMCONF05_206
Index date: 11 May 2018
Contrast Improvement of Mammography Images Using a New Adaptive Technique abstract
Contrast improvement is one of the most important steps in image enhancement techniques used in medical image processing such as mammography. In order to boost the image contrast, an indirect optimization technique has been developed in the space of two-dimensional (2D) histograms. As a traditional method, histogram equalization has undesirable effects. In order to reduce these deficiencies, an improvement of recursive mean-separate histogram equalization using a fusion of contrast-limited adaptive histogram equalization is proposed. Evaluating results using two effective measurement techniques e.g. peak signal-to-noise ratio and effective measure of enhancement, shows that the suggested method has significant results in contrast enhancement.
Contrast Improvement of Mammography Images Using a New Adaptive Technique Keywords:
contrast-limited adaptive histogram equalization , recursive mean-separate histogram equalization , effective measurement enhancemen , peak signal-to-noise ratio , mammographic image
Contrast Improvement of Mammography Images Using a New Adaptive Technique authors
Younes Mousa nia
M.Sc. Student of Electrical Engineering, Department of Electrical and Electronic Engineering, Lorestan University,Khorram-abad, Lorestan, Iran
Salman Karimi
Assistance Professor of Electrical Engineering ,Department of Electrical and Electronic Engineering, Lorestan University, Khorram-abad, Lorestan, Iran