Contrast limited fuzzy adaptive histogram equalization for enhancement of brain images. Issue 1 (21st March 2017)

• Record Type: Journal Article
• Authors: Magudeeswaran, V.; Singh, J. Fenshia
• Is Part Of: International journal of imaging systems and technology. Volume 27:Issue 1(2017:Mar.)
• Page Start: 98
• Page End: 103
• Publication Date: 2017-03-21
• Subjects: contrast -- entropy -- histogram -- brightness; Imaging systems -- Periodicals; Image processing -- Periodicals; 621.367
• DOI: 10.1002/ima.22214
• Languages: English
• ISSNs: 0899-9457

Abstract

ABSTRACT: Contrast limited fuzzy adaptive histogram equalization (CLFAHE) is proposed to improve the contrast of MRI Brain images. The proposed method consists of three stages. First, the gray level intensities are transformed into membership plane and membership plane is modified with Contrast intensification operator. In the second stage, the contrast limited adaptive histogram equalization is applied to the modified membership plane to prevent excessive enhancement in contrast by preserving the original brightness. Finally, membership plane is mapped back to the gray level intensities. The performance of proposed method is evaluated and compared with the existing methods in terms of qualitative measures such as entropy, PSNR, AMBE, and FSIM. The proposed method provides enhanced results by giving better contrast enhancement and preserving the local information of the original image. © 2017 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 27, 98–103, 2017