Abstract
In this paper, we focus on retrieval for cerebral hemorrhage Computerized Tomography images based on Weighted Fuzzy Feature Matching (WFFM). We first apply an improved Expectation Maximization (EM) algorithm to segment the images into regions, and then extract the texture features of each region with Gabor filters. To improve the robustness of retrieval system against segmentation-related uncertainties, WFFM maps the intensity features of each region into fuzzy features with the exponential membership functions. Based on fuzzy features, regions between images are matched and the texture features serve as weighting factors when calculating the similarities between the images. Experiments show that the retrieval method performs better than some similar methods in the application to retrieve cerebral hemorrhage CT images.
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References
Flickner, M., Sawhney, H., Niblack, W., et al.: Query by Image and Video Content:the QBIC System. IEEE Comp. 28(9), 23–322 (1995)
Gupta, A., Jain, R.: Visual Information Retrieval. Commun. ACM 40(5), 70–79 (1997)
Pentland, A., Picard, R.W., Sclaroff, S.: Photobook:Tools for Content-Based Manipulation of Image Database. In: Proc. SPIE, vol. 2185, pp. 34–474 (1994)
Shyu, C., Brodley, C., Kak, A., Kosaka, A., Aisen, A., Broderick, L.: ASSERT: A Physician-in-the-loop Content-based Image Retrieval System for HRCT Image Databases. Computer Vision and Image Understanding 75(1/2), 111–132 (1999)
Lehmann, T., Wein, B., Dahmen, J., Bredno, J., Vogelsang, F., Kohnen, M.: Content-Based Image Retrieval in Medical Applications: A Novel Multi-Step Approach. In: Proc. SPIE, vol. 3972(32), pp. 312–320 (2000)
Li, J., Wang, J.Z., Wiederhold, G.: IRM: Integrated Region Matching for Image Retrieval. In: Proc. 8th ACM Int. Conf. on Multimedia, Los Angeles, CA, pp. 147–156 (2000)
Chu, W., Hsu, C., Cardenas, A., Taira, R.: A Knowledge-based Image Retrieval with Spatial and Temporal Constructs. IEEE Trans. KDE 10(6), 872–888 (1998)
Chen, Y., Wang, J.Z.: A Region-based Fuzzy Feature Approach to Content-based Image Retrieval. IEEE Trans. PAMI 24(9) (2002)
Glataed, T., Montagnat, J., Magnin, I.E.: Texture Based Medical Image Indexing and Retrieval: Application to Cardiac Imaging. In: ACM SIGMM international workshop on Multimedia Information Retrieval(MIR 2004), NewYork, pp. 135–142 (2004)
Krishnapuram, R., Medasani, S., Jung, S.H., Choi, Y.S., Balasubramaniam, R.: Content-Based Image Retrieval Based on a Fuzzy Approach. IEEE Trans. KDE 16(10), 1185–1199 (2004)
Muller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A Review of Content-based Image Retrieval Systems in Medical Applications – Clinical Benefits and Future Directions. Int. J. Med. Inf. 73(1), 1–23 (2004)
Jiang, S.F., Chen, W.F., Feng, Q.J., Chen, Z.: Automatic Segmentation of Cerebral Computerized Tomography Based on Parameter-Limited Gaussian Mixture Model. In: The 1st International Conference on Bioinformatics and Biomedical Engineering, Wu-Han, China, pp. 644–647 (2007)
Manjunath, B., Wu, P., Newsam, S., Shin, H.: A Texture Descriptor for Browsing and Similarity Retrieval. J.Sign.Proc: Image Communication 16(1-2), 33–43 (2000)
Daugman, J.G.: Complete Discrete 2D Gabor Transforms by Neural Networks for Image Analysis and Compression. IEEE Trans. ASSP 36(7), 1169–1179 (1988)
Ahmadian, A., Faramarzi, E., Sayadian.: Image Indexing and Retrieval Using Gabor Wavelet and Legendre Moments. In: The 25th Annual International Conference of the IEEE EMBS, Cancun, Mexico, pp. 560–563 (2003)
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Jiang, S., Chen, W., Feng, Q., Yang, S. (2008). Weighted Fuzzy Feature Matching for Region-Based Medical Image Retrieval: Application to Cerebral Hemorrhage Computerized Tomography. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2008. Lecture Notes in Computer Science, vol 5112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69812-8_27
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DOI: https://doi.org/10.1007/978-3-540-69812-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69811-1
Online ISBN: 978-3-540-69812-8
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