Title :
Shape measures for image retrieval
Author :
Gagaudakis, George ; Rosin, Paul L.
Author_Institution :
Dept. of Comput. Sci., Cardiff Univ., UK
Abstract :
One of the main goals in content based image retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obtaining shape information (in particular avoiding region segmentation) we develop several shape measures that tackle the problem in an indirect manner, requiring only a minimal amount of segmentation. A histogram-based scheme is then used, maintaining low complexity with high efficiency and robustness. The obtained results showed that the synergy of the shape measures worked out providing an improvement over the colour histogram
Keywords :
content-based retrieval; edge detection; feature extraction; image colour analysis; image retrieval; image segmentation; content based retrieval; edge detection; feature extraction; histogram-based scheme; image retrieval; region segmentation; shape measures; Computer science; Content based retrieval; Data mining; Histograms; Image edge detection; Image retrieval; Image segmentation; Particle measurements; Robustness; Shape measurement;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958604
