Jan 24, 2020 · In this paper, an improved Chan-Vese model based on local information is proposed, which utilizes both global and local image information.

Abstract. During executing the image segmentation algorithm based on clas- sical geometric active contour model, to obtain accurate segmentation results.

The experiments demonstrate that the model has significantly increased the convergence rate and accuracy. And the proposed segmentation algorithm has also ...

Thus, a novel active contour model is presented, and an improved SPF- and LIF-based image segmentation (SPFLIF-IS) algorithm is developed based on that model.

Jun 27, 2024 · In this paper a novel method for the unsupervised segmentation of textured images is presented. Textures are modeled as spatial interactions ...

We propose a novel active contour model framework, called FeaACM. We introduce the feature energy function into the conventional energy functional.

The algorithm of active contour model is an image segmentation method based on curve evolution theory, which have great flexibility, adaptability and ...

The proposed method was compared to other state-of-the-art segmentation methods using both synthetic and clinical brain MR images and increased the accuracies ...

Recommendations · A novel active contour model for image segmentation using local and global region-based information · A novel multiphase active contour model ...

The algorithm is a single level image segmentation method. It can process synthetic images with intensity inhomogeneity. Moreover, our model for the images with ...