Shape Retrieval Using Smallest Rectangle Centroid Distance

Shape is one of the main low level features in content based image retrieval systems (CBIR). This paper proposes a novel CBIR technique based on shape feature. In this technique feature extraction is based on a rectangle that covers a shape. The proposed signature is a Fourier based technique and it is invariant against translation, scaling and rotation. The retrieval performance between some commonly used Fourier based signatures and our Smallest Rectangle Centroid Distance (SRCD) signature has been tested using the MPEG-7 database. Experimental results show that the SRCD signature has a good performance compared with those shape signatures.