DocumentCode :
3085625
Title :
Feature Analysis Based on Edge Extraction and Median Filtering for CBIR
Author :
Zhao, Hui ; Kim, Pankoo ; Park, Jongan
Author_Institution :
Dept. of Inf. & Commun. Eng., Chosun Univ., Gwangju
fYear :
2009
fDate :
25-27 March 2009
Firstpage :
245
Lastpage :
249
Abstract :
With the rapid development of technology of multimedia, the traditional information retrieval techniques based on keywords are not sufficient, content - based image retrieval (CBIR) has been an active research topic. A new content based image retrieval method using the feature analysis of edge extraction and median filtering is proposed. To the defect of median filter reducing the imagepsilas resolution especially on edges, edge detection is applied in order to get the edge values, and then replace the values of edge position of median filtering image with detected edge values. Aim at noise reduction while edge detail preservation. After feature extraction histogram comparison is applied for feature vector calculation and similarity measurement. Experiment results show that this algorithm could preserve the image border details and has a good retrieval ability of image.
Keywords :
content-based retrieval; edge detection; feature extraction; image resolution; image retrieval; information retrieval; median filters; content - based image retrieval; edge extraction; feature extraction; image resolution; information retrieval; median filtering; noise reduction; Content based retrieval; Data mining; Filtering; Filters; Image analysis; Image edge detection; Image resolution; Image retrieval; Information retrieval; Noise reduction; CBIR; Edge extraction; Histogram; Median filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-3771-9
Electronic_ISBN :
978-0-7695-3593-7
Type :
conf
DOI :
10.1109/UKSIM.2009.40
Filename :
4809771
Link To Document :
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