Abstract
Modern hospitals are trying to create a database of patients’ diagnostic history that also contains multiple images taken during different clinical tests on a patient. This has lead to a demand for easy retrieval of images matching a query condition, so that this database can be used as a clinical decision support system. This paper presents a technique for retrieval of malaria positive images, matching a specific query condition, from a clinical image database. The candidate image is segmented in RGB colour space, and a pseudo-colour is imparted to the non-region of interest pixels. The technique additionally retains the full features of the chromosomes, and hence the modified image can be used for further studies on the chromosomes. The algorithm utilizes 4-connected labeled region map property of images to analyze and modify the image, i.e., delete unwanted artifacts, etc. This property is also used to count the number of RBCs.
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References
Adoram, M., Lew, M.S.: IRUS: Image Retrieval using Shape. In: IEEE International Conference on Multimedia Computing and Systems, vol. 2, pp. 597–602 (1999)
Avula, S.R., Tang, J., Acton, S.T.: An object based image retrieval system for digital libraries. Multimedia Systems Journal 11(3), 260–270 (2006)
Avula, S.R., Tang, J., Acton, S.T.: Image retrieval using Segmentation. In: Proceedings of IEEE 2003 Systems and Information Engineering Design Symposium, pp. 289–294 (2003)
Bartolini, I., Ciaccia, P., Patella, M.: WARP: Accurate Retrieval of shapes using phase of Fourier descriptors and time warping distance. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(1), 142–147 (2005)
Center for Disease Control and Prevention - malaria image library, http://www.dpd.cdc.gov/dpdx/HTML/ImageLibrary/Malaria_il.htm (accessed July 2013)
Folkers, A., Samet, H.: Content based image retrieval using Fourier descriptors on a Logo database. In: IEEE Proceedings of 16th International Conference on Pattern Recognition 2002, vol. 3, pp. 521–524 (2002)
Ghosh, S., Kundu, S., Ghosh, A.: Rapid detection of malaria via digital processing of images of thin smears of peripheral Blood. In: Proceedings of International Conference on Trends in Optics and Photonics II, pp. 181–187 (2011)
Kutics, A., Nakajima, M., Ieki, T., Mukawa, N.: An object-based image retrieval system using an inhomogeneous diffusion model. In: Proceedings of International Conference on Image Processing 1999, ICIP 1999, vol. 2, pp. 590–594 (1999)
Milios, E., Petrakis, E.G.M.: Shape retrieval based on dynamic programming. IEEE Transactions on Image Processing 9(1), 141–147 (2000)
Natsev, A., Rastogi, R., Shim, K.: WALRUS: a similarity retrieval algorithm for image databases. IEEE Transactions on Knowledge and Data Engineering 16(3), 301–316 (2004)
Rajakumar, K., Muttan, S.: Medical image retrieval using energy efficient wavelet transform. In: International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1–5 (2010)
Ross, N.E., Pritchard, C.J., Rubin, D.M., Duse, A.G.: Automatic Image processing method for the diagnosis and classification of malaria on thin blood smears. Med. Biol. Eng. Comput. 44, 427–436 (2006)
Sheikh, A.R., Lye, M.H., Mansor, S., Fauzi, M.F.A.: A content based image retrieval system for marine life images. IEEE 15th International Symposium on Consumer Electronics (ISCE), pp. 29–33 (2011)
Wang, Z., Chi, Z., Feng, D.: Shape based leaf image retrieval. In: IEEE Proceedings on Vision, Image and Signal Processing, vol. 150, pp. 34–43 (2003)
Huang, Y., Zhang, J., Zhao, Y., Ma, D.: Medical Image Retrieval with Query-Dependent Feature Fusion Based on One-Class SVM. In: IEEE 13th International Conference on Computational Science and Engineering (CSE), pp. 176–183 (2010)
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Ghosh, S., Ghosh, A. (2014). Content Based Retrieval of Malaria Positive Images from a Clinical Database VIA Recognition in RGB Colour Space. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_1
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DOI: https://doi.org/10.1007/978-3-319-03095-1_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03094-4
Online ISBN: 978-3-319-03095-1
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