Image segmentation by clustering web images

摘要

An image segmentation system selects candidate images from an image collection. Image analysis on individual images proceeds by first detecting salient features on each image. Patches are centered on points of interest located on the salient features of the image. Each patch is gridded into blocks. The block feature vectors are merged to generate a patch feature vector. A fingerprint for each image is obtained by merging patch feature vectors across the image. Images with similar fingerprints are identified and geometric matching is performed to further select images with similar objects. Common regions are tabulated and merged into single regions to segment out coherent objects.