移动正方形算法在2D张量投票中的应用
Application of Marching Square Algorithm in 2D Tensor Voting
DOI: 10.12677/SEA.2015.42002, PDF, HTML, XML, 下载: 2,280  浏览: 5,915 
作者: 邵晓芳, 李大龙, 汤 燕:海军航空工程学院青岛校区,山东 青岛
关键词: 移动正方形算法感知修复曲线检测Marching Square Perceptual Completion Curve Detection
摘要: 移动立方体(Marching Cube)算法是三维医学可视化领域应用的经典算法,因其简单实用而得到广泛推广。移动正方形算法是移动立方体算法的二维版本,传统应用主要体现在等值线提取方面,如今在二维张量投票中得到了扩展,可用于曲线检测。该文介绍了移动正方形算法在二维张量投票中的应用,并通过实验展示了应用的效果及尺度参数的影响。
Abstract: Marching Cube is a classic algorithm applied in 3D medical visualization for its simpleness and practicality. Marching Square algorithm is the 2D version of Marching cube, which is used mainly in extracting isolines. Tensor voting algorithm introduces this algorithm to detect general curves. This paper presents the application of Marching Square in 2D tensor voting. Experimental results show its efficiency and the influence of scale parameter.
文章引用:邵晓芳, 李大龙, 汤燕. 移动正方形算法在2D张量投票中的应用[J]. 软件工程与应用, 2015, 4(2): 11-18. http://dx.doi.org/10.12677/SEA.2015.42002

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