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SHADOW DETECTION AND REMOVAL IN IMAGES

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dc.contributor.author Mustafa, Usama Ahmed Reg # 46061
dc.contributor.author Khalique, Aqsa Reg # 46067
dc.contributor.author Shahid, Muhammad Hasnain Reg # 46005
dc.date.accessioned 2023-12-05T06:06:58Z
dc.date.available 2023-12-05T06:06:58Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/123456789/16696
dc.description Supervised by Sameena Javaid en_US
dc.description.abstract Detection of shadow and removal from an image is the process of increasing and enhancing the ability, performance and reliability in the field of computer visionary applications ranging from Object Recognition can be difficult because of the to Image Segmentation. Detection of shadow includes illumination differences ofthe background and similarity in appearance of objects errors and noises in the image. Reductionof shadow from an image can reduce a significant amount of undesirable outcomes that can occurs in computer visions. In this report, we’ve discussed about the shadow detection by filtering an image through Gaussian filtration technique and detecting shadow’s edges by Sobel edge detection. And further more; Shadow removal technique by ICNN Classifier algorithm, entropy calculation and chromaticity of an image have also been discussed in report en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.relation.ispartofseries BSCS;MFN 297
dc.title SHADOW DETECTION AND REMOVAL IN IMAGES en_US
dc.type Project Reports en_US


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