CBIR approach to building image retrieval based on invariant characteristics in Hough domain

In this paper, we propose two rotation and scale invariant features extracted from the Hough transform domain to guide a CBIR system in the search of relevant building images. Upon receiving a query image, the CBIR system transforms the edges detected from the query into the Hough domain with 180 degrees/bins. From each bin, the peak percentage and peak distance ratio are calculated. The circular correlations between the peak percentages and peak distance ratios across the 180 bins of the query image and those of the database images are then taken as the similarity measure for ranking the relevance of the database images to the query.