increasingly important in various domains such as image classification, feature extraction, and pattern recognition. One of the key stages in many image processing applications is image segmentation, which involves dividing an image into regions or segments with similar characteristics. Texture analysis, as a fundamental concept in image processing, plays a crucial role in interpreting and recognizing repeating patterns within an image. These patterns significantly influence the accuracy of segmentation and region identification. In this thesis, various methods and models related to local binary patterns and feature extraction are examined. Moreover, a novel and practical approach is proposed to enhance the performance of these model