New image enhancement technique for WMH segmentation of MRI FLAIR image

• الحاوية / القاعدة: ISCAIE 2016 - 2016 IEEE Symposium on Computer Applications and Industrial Electronics
• المؤلف الرئيسي: 2-s2.0-84992147467
• التنسيق: Conference paper
• اللغة: English
• منشور في: Institute of Electrical and Electronics Engineers Inc. 2016
• الوصول للمادة أونلاين: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992147467&doi=10.1109%2fISCAIE.2016.7575032&partnerID=40&md5=b1432bba0d0a95410585e98068f58ce7

This paper proposes a new image enhancement technique known as Average Intensity Replacement based on Adaptive Histogram Equalization (AIR-AHE) for FLAIR image based on intensities and contrast mapping techniques. The proposed algorithm consists of partial contrast stretching, contrast limiting enhancement, window sliding neighborhood operation and new pixel centroid replacement. The fluid attenuated inversion recovery (FLAIR) sequences of MRI images which are used for segmentation have low contrast. Therefore, contrast stretching is used to improve the quality of the image. After improving the quality of image, the regions of high intensity are determined to represent potential WMH areas. The result shows that the image has a moderate enhancement on the WMH region which is significant to the image contrast enhancement. With complete brightness preservation, the proposed method gives a relatively natural brightness improvement on the WMH of the periventricular region. © 2016 IEEE.