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In order to reduce the massive manual intervention involved in the existing segmentation methods for human cross-section slice images, a segmentation algorithm based on the theory of region growing and threshold in normal gray histogram was proposed in this paper, according to the features of slice images of human brain. More exactly, these slice images were initially segmented coarsely by means of...
Fuzzy c-means (FCM) clustering algorithm has been widely used in automated image segmentation. However, the standard FCM algorithm takes a long time to partition a large dataset. In addition, in current fuzzy cluster algorithms it is difficult to determine the cluster centers. This paper proposes a modified FCM algorithm for MR (magnetic resonance) brain images segmentation. This method fetches in...
The article analyzes the advantage and disadvantage of part lacking fidelity searching algorithm, based on early ending technology thought. Given the disadvantage of the partial distortion search (PDS) algorithm, it brings up one kind of improved method which is similar to it. The improved algorithm also calculates sum of absolute difference (SAD) once within a row and add it to the block pixel SAD,...
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