Hand-drawn Sketches Image Retrieval Based on Global Saliency Detection
Pan Wenwe · Journal of Chengdu Technological University · 2014
A hand-drawn sketches image retrieval algorithm based on global saliency detection was proposed. First,the image segmentation method was used to obtain a number of partitions,and then the partition color sparse histogram was calculated,and the histogram was used to calculate each partition color contrast. Saliency target was obtained by eliminating lowcontrast partitions and was divided into equal blocks. The average gray value of each block and spatial relationships were feature data for searching. Search process was filling hand drawcontour and extracting the feature data and comparing the feature data on disk,then the difference was combined with the spatial weights. Finally the results were sorted,and the pictures were similar if the difference was small. This method can extract saliency targets well and can obtain accurate result.