Home|News|Literature|Journal|Instruction|Forum|Member|Introduction

Chinese  Old version

By    In    Search 

  HomeContents of Chinese Journal of Mechanical Engineering (English Edition),2006 No.3SEGMENTATION ALGORITHM BASED ON EDGE-SEARCHING FOR MULTI-LINEAR STRUCTURED LIGHT IMAGES

LIU Baohua

LI Bing

JIANG Zhuangde
State Key Laboratory of Mechanism Manufacture System Engineering,
Xi'an Jiaotong University,
Xi'an 710049, China

Precise Engineering Institute,
Xi'an Jiaotong University,
Xi'an 710049, China

 

 

SEGMENTATION ALGORITHM BASED
ON EDGE-SEARCHING FOR MULTI-LINEAR STRUCTURED LIGHT IMAGES*

 

Abstract: Aiming at the problem that the existence of disturbances on the edges of light-stripe makes the segmentation of the light-stripes images difficult, a new segmentation algorithm based on edge-searching is presented. It firstly calculates every edge pixel’s horizontal coordinate grads to produce the corresponding grads-edge, then uses a designed length-variable 1D template to scan the light-stripes’ grads-edges. The template is able to find the disturbances with different width utilizing the distributing character of the edge disturbances. The found disturbances are eliminated finally. The algorithm not only can smoothly segment the light-stripes images, but also eliminate most disturbances on the light-stripes’ edges without damaging the light-stripes images’ 3D information. A practical example of using the proposed algorithm is given in the end. It is proved that the efficiency of the algorithm has been improved obviously by comparison.

Key words: Structured light Image segmentation Disturbances Edge-searching

 


*This project is supported by National Natural Science Foundation of China (No.50275120, No.50535030) and Great Science and Technology Project of Xi'an City, China(No.CX200206). Received January 19, 2006; received in revised form May 17, 2006; accepted June 2, 2006

 

Open or Download Full Text of this Paper (PDF File)

About us-Contact us-Site map-Advertisement service-Cooperation-Legal statement

Address: 22 Baiwanzhuang Dajie, Beijing 100037 China    Tel: 8610-88379907    Fax: 8610-68994557

E-mail: cjme@mail.machineinfo.gov.cn  http: //www.cjmenet.com
©2006 Editorial Office of CJME. All Right Reserved