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Image segmentation framework using directional gradient guided LBF
2014
Journal of Chemical and Pharmaceutical Research
unpublished
Image segmentation is a fundamental and challenging problem in image processing and often a vital step for high level analysis. Considering of the inefficient curve evolution against weak boundary and intensity heterogeneous images, an improved level set segmentation framework based on image directional gradient is proposed. In this framework, we divide the evolution processing into two stages: the evolution of the image background and foreground, and the evolution of the image regions based on
fatcat:l7sgaxvivbcrzel762dkv2dq3y