Precise and Robust Line Detection for Highly Distorted and Noisy Images

被引：2

作者：

Wolters, Dominik ^{[1
]}

Koch, Reinhard ^{[1
]}

机构：

[1] Univ Kiel, Dept Comp Sci, Kiel, Germany

来源：

PATTERN RECOGNITION, GCPR 2016 | 2016年 / 9796卷

关键词：

HOUGH TRANSFORM; CALIBRATION; MOTION; MODEL;

D O I：

10.1007/978-3-319-45886-1_1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This article presents a method to detect lines in fisheye and distorted perspective images. The detection is performed with subpixel accuracy. By detecting lines in the original images without warping the image with a reverse distortion, the detection accuracy can be noticeably improved. The combination of the edge detection and the line detection to a single step provides a more robust and more reliable detection of larger line segments.

引用

页码：3 / 13

页数：11

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