Shadow Removal using YCBCR and K-Means Clustering
Author(s) -
Anuradha Baghel,
Vismay Jain
Publication year - 2016
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2016907926
Subject(s) - computer science , shadow (psychology) , cluster analysis , ycbcr , k means clustering , artificial intelligence , computer vision , image (mathematics) , image processing , color image , psychology , psychotherapist
Shadow physical phenomena observed in natural scenes. Image segmentation, tracking, recognition algorithms to fail or can cause a shadow. In this paper, conducted a research in the field of research on the perception of image complexity and classification of images, remove the shade. The purpose of this paper is two-fold: in the first place, an attempt is to be presented for consideration to overcome some of the fundamental problems of light reflection, color constancy, and at the second place segmentation is applied in place to provide better color information. Experimental results show that the proposed method can detect and eliminate the shadows effectively and maintained the color information properly.
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