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Paper Details

📄 IJAERD-OJS-0234

DETECTION AND REMOVAL OF SHADOW IN STILL IMAGES USING ILLUMINATION INVARIANT METHOD

Author(s):Sandeep Singh, Ranju Kanwar, , Malika Singh
Institution:Punjab College of Engineering & Technology, LALRU (MOHALI)
Published In:Vol. 1, Issue 9 — September 2014
Page No.:19-23
Domain:Engineering
Type:Research Paper
ISSN (Online):2348-4470
ISSN (Print):2348-6406
Abstract

Shadow detection and removal is fundamental problem in computer graphics and computer vision communities,which can greatly improve the performance of various applications, such as image interpretation and object classification.Shadow removal is also beneficial to increase the visual realism and physical realism in image editing and processing. As apreprocess procedure, we present an automatic shadow detection method to obtain accurate shadow boundaries. Then basedon the shadow detection results, we develop an efficient shadow removal method using illumination invari ant method toproduce high-quality shadow-free image. Experimental results show that it can accurately detect the shadow regions in animage. In some cases, intensity of shadow matches with that of dark objects and it founds difficulty to correctly detect theshadow region due to shadings present in the images that of dark intensity objects. The algorithm works well on naturalscene images and easily removes the shadow regions in them.

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🕮 How to Cite

Sandeep Singh, Ranju Kanwar, , Malika Singh, “DETECTION AND REMOVAL OF SHADOW IN STILL IMAGES USING ILLUMINATION INVARIANT METHOD”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 9, pp. 19-23, September 2014.

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