Recursive sub-image histogram equalization applied to gray scale images

Citation

SIM, K and TSO, C and TAN, Y (2007) Recursive sub-image histogram equalization applied to gray scale images. Pattern Recognition Letters, 28 (10). pp. 1209-1221. ISSN 01678655

[img] Text (Recursive sub-image histogram equalization applied to gray scale images)
1057.pdf
Restricted to Repository staff only

Download (0B)

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. (C) 2007 Elsevier B.V. All rights reserved.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 27 Sep 2011 03:55
Last Modified: 25 Feb 2014 03:11
URII: http://shdl.mmu.edu.my/id/eprint/3033

Downloads

Downloads per month over past year

View ItemEdit (login required)