LBP ANALYSIS OF THE IMAGES

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dc.contributor.author Bahja, Ledio
dc.date.accessioned 2025-01-24T09:54:43Z
dc.date.available 2025-01-24T09:54:43Z
dc.date.issued 2021-07-15
dc.identifier.uri http://dspace.epoka.edu.al/handle/1/2430
dc.description.abstract Our definition in this paper for Local binary patterns (LBP) is used to characterize the area of the pixel by its own binary derivatives of the pixel. Related with our definition for LPB, the patterns are mostly used for pattern recognition, face recognition and movement detection. Our aim for this thesis is to get in details of LBP and to conclude some results for patterns based on the algorithms developed for this topic. However, without forgetting the impact of LBP on images and on images changes after injection of LBP functionalities. In the end, we will analyze an approximation of the image results with LBP and try to determine the feature of the LBP because we cannot skip the fact that it is a type of visual descriptor used for classification in computer vision. en_US
dc.language.iso en en_US
dc.subject LBP, analyze images, LBP methodology, computer vision. en_US
dc.title LBP ANALYSIS OF THE IMAGES en_US
dc.type Thesis en_US


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