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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >A MODIFIED LBP METHOD TO EXTRACT FEATURES FROM COLOR IMAGES
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A MODIFIED LBP METHOD TO EXTRACT FEATURES FROM COLOR IMAGES

机译:一种改进的LBP方法从彩色图像中提取特征

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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.
机译:局部图像纹理描述符在图像分析中被广泛使用。本地二进制模式(LBP)是简单有效的纹理描述符。 LBP已在图像处理领域的许多应用中使用,例如面部识别,模式识别和特征提取。本文提出了一种改进的LBP方法来提取纹理特征。该算法在许多数字图像上实现,并获得了这些图像的局部结构特征。针对这些功能进行了一些图像识别实验,并将其与其他算法进行了比较。该算法的结果表明,数字图像的尺寸很小,并且基于该方法的图像识别速度和准确性大大提高。

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