International Journal of Advance Computational Engineering and Networking (IJACEN)
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Statistics report
May. 2024
Submitted Papers : 80
Accepted Papers : 10
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Acc. Perc : 12%
Issue Published : 134
Paper Published : 1567
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  Journal Paper

Paper Title :
Robust Fuzzy Logic Technique For Low Contrast Image Shadow Removal

Author :A.Sunandini, D.Usha Nandini

Article Citation :A.Sunandini ,D.Usha Nandini , (2016 ) " Robust Fuzzy Logic Technique For Low Contrast Image Shadow Removal " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 5-9, Volume-4,Issue-4

Abstract : The shadows are playing very hazardous for recognizing objects in low contrast Images. Shadow leads to the problem of false positive errors and false negative errors. Shadows are created because the light source has been blocked by object. In the existing method, suspected shadows are extracted and removed by taking the shadow features into consideration during image segmentation and by calculating the statistical features of the image. But the main limitation of existing method is that the dark objects which could be mistaken for shadows are ruled out according to object properties and spatial relationship between objects. Many effective algorithms have been proposed for shadow detection but no algorithm is produced accurate results. In this project robust fuzzy logic technique is using to eliminate shadow of object. This method accurately identifies shadow areas with information such as gray scale and brightness of the images. The threshold value is obtained by s-curve from the estimated grayscale value of the shadow areas by estimating control parameters. This method work perfectly for low contrast, noisy and overlapped images. Keywords— Shadow, FBM, MBM, Fuzzy Logic and Control Parameters.

Type : Research paper

Published : Volume-4,Issue-4


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