مشروع البحث: Optimized local binary pattern lmage descriptor for efficient chest x -ray image classification
| dc.contributor.advisor | د.البهلول امحمد الفقي | |
| dc.date.accessioned | 2026-10-13T09:05:22Z | |
| dc.date.available | 2026-10-13T09:05:22Z | |
| dc.description | The proposed optimized LBP (OLBP) calculates the local differences of the center pixel with its surrounding. The patterns captured by the proposed optimized LBP address the property of the chest images embodied in straight lines that pass by the center pixel. The optimized LBP reduces the size of the original LBP descriptor, from 8-bits to 4-bits, which in turn reduces the space and time complexity required to calculate the underlying descriptor. The optimized LBP has gained other advantages such as the insensitivity to noise, preserving the image information and insensitivity to illumination. | |
| dc.description.abstract | Image classification is the process of categorizing images into classes based on their content. A sub-task of the general image classification, Is call chest x-ray image classification, Where the goal is to distinguish this kind of images from other forms of x-rays images. The accuracy and efficiency of the classification procedure depends mainly on the extracted image features. Local Binary Pattern (LBP) feature was proven to be a good descriptor. However, LBP was designed as a general purpose image descriptor and it generates considerably long descriptors (8-bits) for each pixel. Subsequently, a modified LBP image feature which captures the properties of the chest xray images and optimizing the size of the generated descriptor are the core issues of the curried research. | |
| dc.identifier | 6029 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/2625 | |
| dc.subject | Chest X-Ray Image Classification | |
| dc.title | Optimized local binary pattern lmage descriptor for efficient chest x -ray image classification | |
| dspace.entity.type | Project | |
| project.endDate | 2015 | |
| project.funder.name | الهندسة الكهربائية والحاسوب | |
| project.investigator | منال عثمان العربي | |
| project.startDate | 2014 |