A Comparative Study on Shadow Detection & Removal Methods in Color Image Processing |
Author(s): |
| Arvind Sharma , DOABA INSTITUTE OF ENGINEERING AND TECHNOLOGY, KHARAR,PUNJAB; Maninder Kaur, DOABA INSTITUTE OF ENGINEERING AND TECHNOLOGY, KHARAR,PUNJAB |
Keywords: |
| Shadow Detection, Color Image Processing, Image Segmentation, Thresholding, Edge Detection |
Abstract |
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Shadow Detection is one of the crucial image organizing mode utilized in various applications as preprocessing phase to separate the illusion sector over the image. The validity of parallel applications turns on the valid segmentation and other processing throughout the image. The presented work is about to compare the shadow detection and removal techniques from an accurate extraction of the shadow area over the image. In this work four different methods are compared with each other and best technique for restoration is selected. There are various techniques like neighbor based region lighting, additive light model, combined model based shadow removal methods. The result analysis will be driven under different parameters. The work is implemented in matlab environment. |
Other Details |
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Paper ID: IJSRDV3I50489 Published in: Volume : 3, Issue : 5 Publication Date: 01/08/2015 Page(s): 566-569 |
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