Evaluation of modified adaptive k-means segmentation algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Computational Visual Media"
DOI: 10.1007/s41095-019-0151-2
Abstract: Segmentation is the act of partitioning an image into different regions by creating boundaries between regions. k-means image segmentation is the simplest prevalent approach. However, the segmentation quality is contingent on the initial parameters (the… read more here.
Keywords: adaptive means; image; segmentation; evaluation modified ... See more keywords
Automatic segmentation of plantar thermograms using adaptive C means technique
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DOI: 10.11591/ijece.v11i2.pp1250-1258
Abstract: Diabetic foot ulcer (DFU) is one of the major concern of diabetes and it is rapidly increasing, in worst case scenario this may lead to amputation. The DFU can be avoided by the early detection… read more here.
Keywords: segmentation plantar; plantar; automatic segmentation; plantar thermograms ... See more keywords
Parametric Comparison of K-means and Adaptive K-means Clustering Performance on Different Images
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DOI: 10.11591/ijece.v7i2.pp810-817
Abstract: Image segmentation takes a major role to analyzing the area of interest in image processing. Many researchers have used different types of techniques to analyzing the image. One of the widely used techniques is K-means… read more here.
Keywords: adaptive means; image; means adaptive; means clustering ... See more keywords