A PROBABILISTIC HOUGH TRANSFORM

被引：499

作者：

KIRYATI, N ^{[1
]}

ELDAR, Y ^{[1
]}

BRUCKSTEIN, AM ^{[1
]}

机构：

[1] TECHNION ISRAEL INST TECHNOL,DEPT COMP SCI,IL-32000 HAIFA,ISRAEL

来源：

PATTERN RECOGNITION | 1991年 / 24卷 / 04期

关键词：

COMPUTER VISION; FEATURE EXTRACTION; HOUGH TRANSFORM; MONTE-CARLO METHODS; PROBABILISTIC ALGORITHMS;

D O I：

10.1016/0031-3203(91)90073-E

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The Hough Transform for straight line detection is considered. It is shown that if just a small subset of the edge points in the image, selected at random, is used as input for the Hough Transform, the performance is often only slightly impaired, thus the execution time can be considerably shortened. The performance of the resulting "Probabilistic Hough Transform" is analysed. The analysis is supported by experimental evidence.

引用

页码：303 / 316

页数：14

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