Recursive sub-image histogram equalization applied to gray scale images

Citation

Sim, Kok Swee and Tso, Chih Ping and Tan, Yik Yee (2007) Recursive sub-image histogram equalization applied to gray scale images. Pattern Recognition Letters, 28 (10). pp. 1209-1221. ISSN 0167-8655

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Abstract

A novel recursive sub-image histogram equalization (RSIHE) is developed to overcome the drawbacks of generic histogram equalization (HE) for gray scale images. Compared to some of the conventional HE methods, such as bi-histogram equalization and recursive mean-separate histogram equalization, the proposed RSIHE method yields better image compensation. The scanning electron microscope images are used as test images to evaluate the efficiency of the developed algorithm. The algorithm is implemented in software with a frame grabber card, forming the front-end video capture element.

Item Type: Article
Uncontrolled Keywords: Histogram equalization, Scanning electron microscope
Subjects: Q Science > QH Natural history
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 27 Sep 2011 03:55
Last Modified: 08 Sep 2021 02:22
URII: http://shdl.mmu.edu.my/id/eprint/3033

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