Improving Diagnostic Viewing of Medical Images using Enhancement Algorithms | Science Publications

Journal of Computer Science

Md J. Nordin¹  Hanan S.S. Ahmed¹ 

关键词: Medical images;    median filter;    unsharp mask;    contrast limited adaptive histogram equalization;    Medpix database;   

DOI  :  10.3844/jcssp.2011.1831.1838

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement:Various images are low quality and difficultly to detect and extract information. Therefore, the image has to get under a process called image enhancement which contains an aggregation of techniques that look for improving the visual aspect of an image. Medical images are one of the fundamental images, because they are used in more sensitive field which is a medical field. The raw data obtained straight from devices of medical acquisition may afford a comparatively poor image quality representation and may destroy by several types of noises. Image Enhancement (IE) and denoising algorithms for executing the requirements of digital medical image enhancement is introduced. The main goal of this study is to improve features and gain better characteristics of medical images for a right diagnosis. Approach:The proposed techniques start by the median filter for removing noise on images followed by unsharp mask filter which is believable the usual type of sharpening. Medical images were usually poor quality especially in contrast. For solving this problem, we proposed Contrast Limited Adaptive Histogram Equalization (CLAHE) which is one of the techniques in a computer image processing domain. It was used to amend contrast in images. Results:For testing purposes, different sizes and various types of medical images were used and more than 60 images in different parts of the body. From the experts

【 授权许可】

Unknown