Title :
Color image retrieval technique based on EM segmentation algorithm
Author :
Fakheri, Majid ; Sedghi, Tohid
Author_Institution :
Urmia Branch, Fac. of Eng., Islamic Azad Univ., Urmia, Iran
Abstract :
Content based image retrieval, the problem of finding images from data base according to their content, has been the subject of a significant amount of research in the last decade. Image retrieval based on region is one of the most promising and active research directions in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image, hitherto no specific system has been suggested with the ability of extracting object individually. We introduce a new idea, hence object detection has been obtained as main contribution of this paper and a new feature extraction based on spectral analysis is presented.
Keywords :
computer vision; content-based retrieval; feature extraction; image colour analysis; image retrieval; image segmentation; object detection; EM segmentation algorithm; color image retrieval technique; content based image retrieval; feature extraction; human visual perception; machine vision system; object detection; semantic information extraction; spectral analysis; Computer vision; Feature extraction; Hidden Markov models; Image color analysis; Image retrieval; Image segmentation; Training;
Conference_Titel :
Telecommunications (IST), 2010 5th International Symposium on
Print_ISBN :
978-1-4244-8183-5
DOI :
10.1109/ISTEL.2010.5734130