Hough transform run length encoding for real-time image processing

被引：21

作者：

Messom, Christopher H. ^{[1
]}

Sen Gupta, Gourab

Demidenko, Serge N.

机构：

[1] Massey Univ, IIMS, Auckland, New Zealand

[2] Singapore Polytech, Sch Elect & Elect Engn, Singapore, Singapore

[3] Massey Univ, IIS&T, Palmerston North, New Zealand

[4] Monash Univ, Sch Sci & Engn, Kuala Lumpur, Malaysia

来源：

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | 2007年 / 56卷 / 03期

关键词：

edge detection; Hough transform; real-timen image processing; run length encoding;

D O I：

10.1109/TIM.2006.887687

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper introduces a real-time image processing algorithm based on run length encoding (RLE) for a vision-based. intelligent controller of a Humanoid Robot system. The RLE algorithms identify objects in the image, providing their size and position. The RLE Hough transform is also presented for recognition of landmarks in the image to aid robot localization. The vision system presented has been tested by simulating the dynamics of the robot system as well as the image processing subsystem.

引用

页码：962 / 967

页数：6