Cite this article:
Sinha and Thakur (2006). An Adaptive Image Enhancement Algorithm for Facial Image Detection. Journal of Ravishankar University (Part-B: Science), 19(1), pp.1-10.
Journal
of Ravishankar University Vol.19 No. B(Science) 2006 pp 1-10 ISSN 0970-591
An Adaptive Image Enhancement Algorithm for Facial
Image Detection
G.R.
Sinha and Kavita Thakur
Dept.
of Electronics & Telecom
Chhattisgarh
Institute of Technology Rajnandgaon (C.G.)
SOS
in Electronics Pt. Ravishankar Shukla University Raipur
Email: ganeshsinha2003@sify.com
Ms
Received: 06-10-05; Revised: 08-05-2006; Accepted:
08-05-06
Abstract: In this paper an adaptive image enhancement technique has been
discussed. image enhancement procedure is a necessary pre processing for
facial image detection. First, the distribution of image information is being
measured by using the entropy error rate (EER). Then, by integrating a
histogram Ridge analysis technique and an optimal intensity transform method, a
novel adaptive image enhancement algorithm has been implemented to minimise the
EER of an enhanced image. Basically, the image enhancement problem is a
parameter (EER) optimisation problem. The results demonstrate That this method
of preprocessing can significantly improve the accuracy of facial image
detection and performs much better than classical histogram-based enhancement
techniques such as linear stretching and histogram equalization.
Keywords:
entropy error rate (EER) facial image enhancement histogram histogram
equalization (HE) adaptive enhancement (AE)
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