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The accurate detection of region(s)-of-interest (ROI) via Active Contour Method (ACM) is a well-known and evolving research topic in image segmentation. A novel region-based active contour method is proposed that can segment real and synthetic images with blurred borders more efficiently. Additionally, a new Signed Pressure Force (SPF) function named as Hyperbolic Trigonometric Signed Pressure Force...
A normalized local binary fitting (NLBF) model is proposed for image segmentation in this paper. The proposed model can effectively and efficiently segment images with intensity in homogeneity because the image local characteristics are considered. At the same time, we use a Gaussian filtering process instead of the regularization to keep the level set function smooth in the evolution process. The...
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