A content-based image retrieval system integrating color, shape and spatial analysis

The paper investigates image retrieval methods based on color, shape and spatial analysis. We have designed and implemented a prototype to retrieve a particular image from an image database. Indexing methods based on criteria are adopted in the prototype. An integrated method for calculating the similarity value between two images is introduced. We then evaluate the performance and compare the characteristic of each image retrieval approach in turn. Experimental results show that using color-only analysis can achieve a good image recall rate. Finally, integrating the color, shape and spatial analysis in image retrieval, the accuracy is much higher than using the techniques separately.