Abstract
Edge detection in medical images is an intrinsic difficult problem as the gray value intensity images may show different edges through Improved Mountain Clustering based medical image. We present a clustering based indexing technique, where the images in the database are grouped into clusters of images with similar color content using a hierarchical clustering algorithm. An initial comparative study of various medical datasets shows the differences and properties of these approaches and makes clear that the proposal has interesting properties.
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Acknowledgments
The authors express their sincere thanks to the Management and the Principal of Bannari Amman Institute of Technology, Sathyamangalam for providing the necessary facilities for the completion of this paper.
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Harikumar, R., Vinoth Kumar, B., Karthick, G., Chand, L., Navin Kumar, C. (2013). Hierarchical Clustering Algorithm for Intensity Based Cluster Merging and Edge Detection in Medical Images. In: S, M., Kumar, S. (eds) Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012). Lecture Notes in Electrical Engineering, vol 221. Springer, India. https://doi.org/10.1007/978-81-322-0997-3_30
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DOI: https://doi.org/10.1007/978-81-322-0997-3_30
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