Abstract
AbstractImage classification has attracted the attention in many research field. As an efficient and fast image feature extraction operator, LBP is widely used in the Image classification. The traditional local binary pattern (LBP) algorithm only considers the relationship between the center pixel and the edge pixel in the pixel region, which often leads to the problem of partial important information bias. To solve this problem, this paper proposes an improved LBP with threshold, which can significantly optimize the processing of texture features, and also be used to address the problems of multi-type image classification. The experimental results show that the algorithm can effectively improve the accuracy of image classification.KeywordsImage classificationFeature extractionDimensionality reductionBP network
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