Robust Detection and Segmentation of Images with Tolerance

In this paper, we introduce a novel approach to retrieve significant spatial images from a collection of images. The query images of interest in this paper are specified rectangular-shaped and circular-shaped as framed photographs. By incorporating the advantages of adaptive thresholding and tolerant partitioning into peak color regions, the proposed method requires low computational complexity and it is very feasible for image detection and segmentation. Peak image regions are then extracted by using color histograms. Since the number of the peak regions is much smaller than that of the image pixels, this proposed method allows a low dimensional image processing. The effectiveness of the proposed method is confirmed through experiments with various images.