A Robust Color Image Retrieval Based on Significant Bit-plane
一种基于重要位平面的鲁棒图像检索算法

According to the noise attack characteristic,a new robust color image retrieval based on significant bit-plane is proposed.Firstly,the significant bit-planes are extracted from the color image based on bit-plane theory and the noise attack characteristics.Secondly,the color histograms are extracted from the significant bit-planes as color feature,and the standard deviation of color for every significant bit-plane is computed as spatial feature.Finally,the similarity between color images is computed by using a combined index based on color feature and spatial feature.Experimental results show that the proposed image retrieval is more accurate and efficient in retrieving the user-interested images.Especially,it can retrieve the noise(including fuzzy,sharpen, and illumination,etc) image effectively.