Isocontouring with sharp corner features

Machine Graphics and Vision Pub Date : 2019-12-01 DOI:10.22630/mgv.2018.27.1.2

S. Gong, Timothy S Newman

引用次数: 0

Abstract

A method that achieves closed boundary finding in images (including slice images) with sub-pixel precision while enabling expression of sharp corners in that boundary is described. The method is a new extension to the well-known Marching Squares (MS) 2D isocontouring method that recovers sharp corner features that MS usually recovers as chamfered. The method has two major components: (1) detection of areas in the input image likely to contain sharp corner features, and (2) examination of image locations directly adjacent to the area with likely corners. Results of applying the new method, as well as its performance analysis, are also shown.

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等高轮廓与尖锐的角落特征

描述了一种以亚像素精度在图像(包括切片图像)中实现封闭边界查找的方法，同时允许在该边界中表达尖锐角。该方法是对著名的行军广场(Marching Squares, MS)二维等高轮廓法的新扩展，该方法可以恢复MS通常以倒角方式恢复的锐角特征。该方法有两个主要组成部分:(1)检测输入图像中可能包含尖锐角落特征的区域，以及(2)检查与可能角落区域直接相邻的图像位置。最后给出了新方法的应用结果，并对其性能进行了分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Machine Graphics and Vision Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Machine GRAPHICS & VISION (MGV) is a refereed international journal, published quarterly, providing a scientific exchange forum and an authoritative source of information in the field of, in general, pictorial information exchange between computers and their environment, including applications of visual and graphical computer systems. The journal concentrates on theoretical and computational models underlying computer generated, analysed, or otherwise processed imagery, in particular: - image processing - scene analysis, modeling, and understanding - machine vision - pattern matching and pattern recognition - image synthesis, including three-dimensional imaging and solid modeling