1998
DOI: 10.1006/cbmr.1998.1489
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Split-and-Merge Segmentation of Magnetic Resonance Medical Images: Performance Evaluation and Extension to Three Dimensions

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Cited by 72 publications
(25 citation statements)
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“…The region growing algorithm has been proven to be an effective approach for image segmentation [7] . Region growing is a technique for extracting a connected region in the image that is connected based on some predefined criteria regarding intensity.…”
Section: Region Growingmentioning
confidence: 99%
“…The region growing algorithm has been proven to be an effective approach for image segmentation [7] . Region growing is a technique for extracting a connected region in the image that is connected based on some predefined criteria regarding intensity.…”
Section: Region Growingmentioning
confidence: 99%
“…In contour-based segmentation the active contour algorithm is a typical and widely used in literature [6] [7]. Secondly in region-based segmentation many techniques have been developed like region growing technique [8], split-and-merge based technique [9], and watershed based technique [10]. And Finally Classification-based segmentation includes statistical based classification such as in [11] Markov random field is used, in [12] Hidden Markov models based technique is proposed, and in [13] Gaussian mixture model segmentation is proposed.…”
Section: Related Workmentioning
confidence: 99%
“…Many image processing techniques have been proposed for MR image segmentation, most notably thresholding [3,4], region-growing [5], edge detection [6], pixel classification [7,8] and clustering [9,10,11]. Some algorithms using the neural network approach have also been investigated in the MR image segmentation problems [12,13].…”
Section: Introductionmentioning
confidence: 99%