Image retrieval technology research based on object extraction of gradient threshold
Xuan Wang · Jisuanji gongcheng yu sheji · 2013
To strengthen the effective feature extraction in the field of image retrieval,an image retrieval technology based on object-extracted is proposed.Two-dimensional Otsu gradient threshold selection fast iterative algorithm is used,the gray level-the maximum gradient two-dimensional histogram is utilized to select threshold,and the iterative is used thought instead of exhaustive search to segment object quickly at the same time.The shortcomings of segmentation inaccurate and the high computational complexity in the traditional two-dimensional Otsu algorithm were overcome.The target object feature is used to extracted and matched for retrieval.Experiments show that the proposed method could segment images more accurate,and the algorithm for object-based image retrieval with higher precision.