A survey of Hough Transform

被引：441

作者：

Mukhopadhyay, Priyanka ^{[1
,2
]}

Chaudhuri, Bidyut B. ^{[1
]}

机构：

[1] Indian Stat Inst, CVPR, Dept Comp Sci, Kolkata, India

[2] Natl Univ Singapore, Singapore 117548, Singapore

来源：

PATTERN RECOGNITION | 2015年 / 48卷 / 03期

关键词：

Hough Transform (HT); Generalized Hough Transform (GHT); Probabilistic Hough Transform (PHT); Randomized Hough Transform (RHT); Digital Hough Transform (DHT); CURVE DETECTION; LINE DETECTION; RANDOMIZED ALGORITHM; PROBABILISTIC MODEL; SPACE TRANSFORMS; STRAIGHT-LINES; IMAGE SPACE; RECOGNITION; ARCHITECTURE; IMPLEMENTATION;

D O I：

10.1016/j.patcog.2014.08.027

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In 1962 Hough earned the patent for a method 111, popularly called Hough Transform (HT) that efficiently identifies lines in images. It is an important tool even after the golden jubilee year of existence, as evidenced by more than 2500 research papers dealing with its variants, generalizations, properties and applications in diverse fields. The current paper is a survey of HT and its variants, their limitations and the modifications made to overcome them, the implementation issues in software and hardware, and applications in various fields. Our survey, along with more than 200 references, will help the researchers and students to get a comprehensive view on HT and guide them in applying it properly to their problems of interest. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：993 / 1010

页数：18

共 215 条

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