| 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 |