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.