Multiple Quadratic Snake Software for Medical Image Segmentation
نویسندگان
چکیده
Classical active contour models provide an elegant framework for optimal estimation in image processing. However, their adaptability to image noise and convergence speed have been major challenges. In this paper, we introduce an image segmentation software based on a multiple quadratic multiple snake model coupled with the GVF external force. We describe the detailed implementation of the software and explain an effective strategy for choosing correct input parameters.
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