A framework that constructs an adaptive region similarity network from an initial segmentation using color and texture features and applies community detection algorithms to produce the final image segmentation, with tests on the Berkeley dataset showing improved performance.
”Canny edge detection enhancement by scale multiplication.” IEEE transactions on pattern analysis and machine intelligence 27.9 (2005): 1485-1490
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A General Framework for Complex Network-Based Image Segmentation
A framework that constructs an adaptive region similarity network from an initial segmentation using color and texture features and applies community detection algorithms to produce the final image segmentation, with tests on the Berkeley dataset showing improved performance.