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. © 2013 Springer.
CITATION STYLE
Harikumar, R., Vinoth Kumar, B., Karthick, G., Chand, L. K., & Navin Kumar, C. (2013). Hierarchical clustering algorithm for intensity based cluster merging and edge detection in medical images. In Lecture Notes in Electrical Engineering (Vol. 221 LNEE, pp. 323–337). https://doi.org/10.1007/978-81-322-0997-3_30
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