文章基本信息

标题：A MODIFIED LBP METHOD TO EXTRACT FEATURES FROM COLOR IMAGES
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作者：BILAL ZAHRAN ; JAMIL AL-AZZEH ; ZIAD ALQADI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：10
出版社：Journal of Theoretical and Applied
摘要：Local image texture descriptors are widely used in image analysis. The local binary pattern (LBP) is a texture descriptor that is simple and efficient. LBP has been utilized in many applications in image processing field such as face recognition, pattern recognition and feature extraction. In this paper, a modified LBP method was proposed to extract texture features. The proposed algorithm was implemented on many digital images and the local structure features of these images were obtained. Several image recognition experiments are conducted on these features and compared with other algorithms. The results of the proposed algorithm showed that the digital image was represented in a very small size and furthermore the speed and accuracy of image recognition based on the proposed method was increased significantly.
关键词：Local Binary Patterns (LBP); Local Features; Cyclic Symmetric Reduced LBP (CSLBP); Mean Square Error (MSE) And Peak Signal-To-Noise Ratio (PSNR).