Shadow's Removal Using Image Processing

Abstract

The Title of this thesis is “Shadow’s Removal by using Image Processing”. In this thesis, I had been proposing a method to turn this psychological concept into a machine that can automatically detection the shadows. Shadow detection and removal have been used in various images processing system such as video surveillances, scene interpretations and objects recognition. Ignoring the presences of shadows in images can causes serious problem such as objects merging, object loss, misinterpretation and alteration make-up in visual processing applications such as segment, group analysis and follow-up. Many algorithms had it proposed to books, related to the acquisition and removal of images and videos. Comparative testing and capacity building of existing methods in the video has already been reported, but we do not have the same in case the images are still standing. This paper provides the complete an existing dignity detection survey and removal technique reported in the current situation image. The test metrics involved in strategies for finding and removing strategies are also discussed with the inefficiencies of common metrics such as; the accuracy of pixel, Precision, Recall, FScore etc in the acquisition phase is also checked. Plenty and quantity the selected methods are also tested. Ku to our knowledge all of this is a special first article discusses ways to detect and remove shadows from real photos.