English(EN) A Topology fixated Shape Gradient Framework for Non Simple Boundary Extraction for CIE Lab color images with Repulsive Energy

新框架使用拓扑固定的形状梯度进行图像边界提取

作者 PulseAugur 编辑部 · [1 个来源] · 2026-04-28 04:00

研究人员开发了一种新颖的图像分割方法，该方法利用了结合了改进的形状梯度和排斥函数的混合方法。该技术旨在通过演化由非局部形状驱动的离散曲线来分割具有复杂结构（包括不相连区域和多个边界）的图像。一项关键创新是一个多变量函数，它在边界演化过程中管理自相交，确保对分割区域的拓扑控制。 AI

影响引入了一种具有拓扑控制的图像分割新方法，可能改进复杂视觉数据的分析。

排序理由这是一篇详细介绍图像分割新颖技术方法的学术论文。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Shafeequdheen Palengara, Jyotiranjan Nayak, Vijayakrishna Rowthu · 2026-04-28 04:00

面向CIE Lab彩色图像的非简单边界提取的拓扑固定形状梯度框架与排斥能量

arXiv:2604.23167v1 Announce Type: new Abstract: A levelset free but a hybrid image segmentation approach based on a modified version of the piece wise constant shape gradient of an Mumford Shah shape functional and a repulsive function is considered. The segmentation is performed…