Title :
An Object Based Image Retrieval
Author :
Zhang, Yungang ; Yang, Jinhua
Author_Institution :
Dept. of Comput. Sci., YunNan Normal Univ., Kunming
Abstract :
An object based image retrieval scheme is described. In this scheme, to get objects in an image is the first step, which indeed is an image split and merge process. To control image segmentation, definition of LPD is given. After the split, merge the sub-blocks to get some homogeneous regions called objects. In objects detection, the concepts of inside block and outside block are proposed, a method to choose the seed of regions and proper growth criterion is also presented. Based on the objects get from the image, some important features can be extracted to measure similarity between images.
Keywords :
feature extraction; image retrieval; image segmentation; object detection; feature extraction; image segmentation; image split-merge process; object based image retrieval scheme; object detection; Computer science; Content based retrieval; Data mining; Feature extraction; Histograms; Image analysis; Image retrieval; Image segmentation; Information retrieval; Pixel;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.477
