Feature Analysis Based on Edge Extraction and Median Filtering for CBIR

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 extra...

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Bibliographic Details
Published in2009 11th International Conference on Computer Modelling and Simulation pp. 245 - 249
Main Authors Hui Zhao, Pankoo Kim, Jongan Park
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2009
Subjects
CBIR
Content based retrieval
Data mining
Edge extraction
Filtering
Filters
Histogram
Image analysis
Image edge detection
Image resolution
Image retrieval
Information retrieval
Median filter
Noise reduction
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Summary: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.
ISBN:9781424437719
1424437717
DOI:10.1109/UKSIM.2009.40