Abstract
Medical image indexing and storage is gaining increased importance. Indexing and retrieval of these images efficiently is becomes an essential task. Indexing of medical images using text or numbers is a cumbersome task, difficult to memorize and time consuming. Indexing and Retrieval of images can be done through query by text and query by image which is also known as content based image retrieval (CBIR). Different medical images possess different texture and shape features. This paper presents a novel and hybrid approach of managing a huge medical image database and retrieving a medical image from the database by fusion of shape and texture features. Image is retrieved by comparing the features of query image and images of database. We attach some document information with each medical image such as patient identity, diseases, age, and case history. It can be used for further diagnostic and analysis purpose. Further the proposed algorithm also updates the database automatically if new query is found. MATLAB ® 7.01 and its image processing toolbox have been used to implement the algorithm.
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Wolf, C., Jolion, J.-M., Kropatsch, W., Bischof, H.: Content based Image Retrieval using Interest Points and Texture Features. In: Proceedings of IEEE International Conference on Pattern Recongnition, vol.4, pp. 234–237 (2000)
Rajakumar, K., Muttan, S.: Medical Image Retrieval using Energy Efficient Wavelet Transform. In: Second International conference on Computing, Communication and Networking Technologies, Department of Electronics and Communication Engineering College of Engineering, Guindy, Anna University, Chennai, India (2010)
Chen, K., Lin, J., Zou, Y., Yin, G.: Content-based Medical Ultrasound Image Retrieval Using a Hierarchical Method. In: Proceedings of IEEE 2nd International Congress on Image and Signal Processing, pp. 1–4 (2009)
Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content-based image retrieval at the end of the early years. In: Proceedings of IEEE International conference on Pattern Analysis and Machine Intelligence, pp. 1349–1380 (December 2000)
Bugatti, P.H., Ponciano-Silva, M., Traina, A.J.M., Traina Jr., C., Marques, P.M.A.: Content-Based Retrieval of Medical Images: from Context to Perception. In: Proceedings of IEEE 22nd International Conference on Computer Based Medical System, pp. 1–8 (2009)
Mercimek, M., Gulez, K., Mumcu, T.V.: Real object recognition using moment invariants. Proceedings of Journal Sadhana 30, part-6, 765–775 (2005)
Singh, B.K., Wany, A.: Retrieval of M.R.I Images using Color & Spectral Features. In: Proceedings of National Conference Technologia 2010, MPCCET Bhilai (February 2010)
Petković, T., Krapac, J.: Tehnical Report on Shape description with Fourier descriptors
Prasad, B.G., Krishna, A.N.: Performance Evaluation of Statistical Texture Features for Medical Image Classification. In: Proceedings of the National Conference on Emerging Trends in Computing Science NCETCS (2011)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image processing Using matlab, 2nd edn. McGraw-Hill, New York (2010)
Tao, Y., Lo, S.C.B., Freedman, M.T., Xaun, J.: A premilimary study of Content based mammographic masses retrieval. In: Proceedings of SPIE, Conference on Medical Imaging 2007: Computer-Aided Diagnosis (2007)
Malcok, M., Aslandogan, Y., Yesildirek, A.: Fractal dimension and similarity search in high-dimensional spatial databases. In: IEEE International Conference on Information Reuse and Integration, Waikoloa, Hawaii, USA, pp. 380–384 (2006)
Smith, J., Chang, S.: Automated Binary Texture Feature Sets for Image Retrieval. In: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 4, pp. 2239–2242 (May 1996)
Singh, B.K., Sinha, G.R., Mazumdar, B., Khan, I.: Content Based Retrieval of X-ray Images Using Fusion of Spectral Texture and Shape Descriptors. In: Proceedings of IEEE International Conference on Advances in Recent Technologies in Communication and Computing, pp. 80–84 (2010)
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Chandrakar, A., Thoke, A.S., Singh, B.K. (2011). Indexing and Retrieval of Medical Images Using CBIR Approach. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Advances in Parallel Distributed Computing. PDCTA 2011. Communications in Computer and Information Science, vol 203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24037-9_39
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DOI: https://doi.org/10.1007/978-3-642-24037-9_39
Publisher Name: Springer, Berlin, Heidelberg
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