Image retrieval method based on local projection andblock LBP feature
基于局部投影与块LBP特征的图像检索

A projection method is applied to local image blocks through combinations with Vector Quantization(VQ) to generate the projection vector index histogram, which can efficiently represent the distribution and the spacial information of colors. Furthermore, a block-based local binary pattern(LBP) algorithm is proposed, which can effectively extract the structural model of block primitive, avoid instability,and reduce computations compared to the traditional methods. Finally, an image is partitioned into significant regions and non-significant regions based on its saliency map to give the features which are extracted from them more visual sense. Our proposed method is improving the performance by an average of 6.39% compared to the classical index histogram algorithm.