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Fig. 3 | BMC Bioinformatics

Fig. 3

From: High throughput automatic muscle image segmentation using parallel framework

Fig. 3

a: The partially overlapped tiles (left muscle image) are distributed to workers as tasks. The returned segmentation results are combine to generate the right image. b: Close-up patches of the test image in (a) is shown. From top to bottom, the four close-up patches are the original image, contour image, initial region candidate map, and the candidate map thresholded by a high value, respectively. The initial candidate map is built into a tree structure. Each region in the high-thresholded candidate map is a small tree using region-wise distance computed using the contour image. The hierarchical tree based inference algorithm is parallelized using multi-core techniques

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