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http://dx.doi.org/10.3745/KTSDE.2013.2.4.273

Medical Image Classification and Retrieval Using BoF Feature Histogram with Random Forest Classifier  

Son, Jung Eun (계명대학교 컴퓨터공학과)
Ko, Byoung Chul (계명대학교 컴퓨터공학과)
Nam, Jae Yeal (계명대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.2, no.4, 2013 , pp. 273-280 More about this Journal
Abstract
This paper presents novel OCS-LBP (Oriented Center Symmetric Local Binary Patterns) based on orientation of pixel gradient and image retrieval system based on BoF (Bag-of-Feature) and random forest classifier. Feature vectors extracted from training data are clustered into code book and each feature is transformed new BoF feature using code book. BoF features are applied to random forest for training and random forest having N classes is constructed by combining several decision trees. For testing, the same OCS-LBP feature is extracted from a query image and BoF is applied to trained random forest classifier. In contrast to conventional retrieval system, query image selects similar K-nearest neighbor (K-NN) classes after random forest is performed. Then, Top K similar images are retrieved from database images that are only labeled K-NN classes. Compared with other retrieval algorithms, the proposed method shows both fast processing time and improved retrieval performance.
Keywords
Content-Based Image Retrieval; OCS-LBP; Bag-of-Feature; Random Forest; K-Nearest Neighbor;
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1 B.C. Ko, J.-H. Lee, and J.-Y. Nam, "Automatic medical image annotation and keyword-based image retrieval using relevance feedback," Journal of Digital Imaging, Vol.25, No.4, pp.454-465, 2012.   DOI   ScienceOn
2 D. G. Lowe, "Object recognition from local scale-invariant features," IEEE International Conference on Computer Vision, Vol.2, pp.1150-1157, 1999.
3 T. Ojala, M. Pietikainen, and T. Maenpaa, "Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.24, pp.971-987, 2002.   DOI   ScienceOn
4 M. Heikkila and M. Pietikainen, "Description of Interest Regions with Local Binary Patterns," Pattern Recognition Vol.42, pp.425-436, 2009.   DOI   ScienceOn
5 Y. G. Jiang C. W. Ngo, and J. Yang, "Towards Optimal Bag-of-Features for Object Categorization and Semantic Video Retrieval," 6th ACM international conference on Image and video retrieval, pp.494-501, 2007.
6 L. Breiman, "Random Forests," Machine Learning Vol.45, pp.5-32, 2001.   DOI
7 B. C. Ko, J-H. Lee, and J-Y Nam, "Automatic medical image annotation and keyword-based image retrieval using relevance feedback," Journal of Digital Imaging, Vol.25, No.4, pp.454-465, 2012.   DOI   ScienceOn
8 P. Bhattacharya and M. M. Rahman, "Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces," International Conference on Pattern Recognition, Vol.2, pp.1162-1168, 2006.
9 Mi-suk Seo, Byoung-Chul Ko, Yu-ik Son, Hee - Juhn Park, Jae-Yeal Nam, "The human visual system and the MPEG-7 visual descriptors using a region of interest based Medical Image Retrieval" Burns Society of Korea Journal, Vol.13, No.2, pp.120-130, 2007.
10 Gi-hui Park, Byoung-Chul Ko, Jae-Yeal Nam, "Medical image automatic annotation generated code using an array of multi-class SVM and comments," Journal of the Korea Information Processing Society B, Vol.16, No.4, pp.281-288, 2009.
11 E. Uwimana and M. E. Ruiz, "Integrating an automatic classification method into the medical image retrieval process," AMIA Annual Symposium 2008, pp.747-751, 2008.
12 U. Avni, M. Sharon, and J. Goldberger, "X-ray Image Categorization and Retrieval using Patch-based Visual Words Representation," International Conference on biomedical imaging, pp.350-353, 2009.
13 J. Wang, Y. Li, Y. Zhang, H. Xie, and C. Wang, "Boosted leraning of visual word weighting factors for bag-of-features based medical image retrieval", Sixth International Conference on Image and Graphics, pp.1035-1040, 2011.