Image Retrieval Algorithm Based on Nonlinear Fuzzy Histogram
Jiao Xiaojun, Chengliang Wang, Liu Zhang-qiao · Jisuanji gongcheng · 2012
In Content Based Image Retrieval(CBIR) system,the conventional color histogram and spectral histogram can not meet the continuity and similarity of color transition and changes in gradient orientation and magnitude.A image retrieval algorithm of the nonlinearly fuzzy chromatic histogram and the nonlinearly fuzzy gradient-vector histogram is presented.It can depict images with a form which can answer for the human nonlinearly cognitional nature in visual field well.Based on other existing features in spectrum and statistics,the features group combinatorics of selection method is constructed,it selects the most proper image features group combinatorics to promote the effectiveness of image retrieval system.Experimental result shows that,compared with other retrieval algorithms,the proposed algorithm has well retrieval quality.