Title :
Laser Spot Center Detection Based on the Geometric Feature
Author :
Shi Yin-tao ; Cheng Xiao-jun
Author_Institution :
Dept. of Surveying & Geo-infomatics, Tongji Univ., Shanghai, China
Abstract :
The accuracy and speed of laser spot center detection algorithm directly affect the efficiency and the application range of the measurement. This paper proposes a novel laser spot center detection method based on the laser spot´s geometry feature. This method firstly extracts the contour by detecting the spot image, then further optimizes the extracted contour according to the geometric characteristics of the spot, and lastly resolves the spot center by means of moving least squares method (MLSM). Experimental results show that this method can efficiently and precisely detects the spot center whether the laser spot is regular or irregular, and positioning accuracy was considerably high, which is a fast and efficient spot center detection method.
Keywords :
feature extraction; laser beam applications; least squares approximations; object detection; geometric feature extraction; image detection; laser spot center detection; measurement range; moving least squares method; positioning accuracy; Accuracy; Feature extraction; Fitting; Gravity; Image edge detection; Measurement by laser beam; Noise; contour; curvature; geometric feature; laser spot; moving least square method ( MLSM);
Conference_Titel :
Information Science and Engineering (ISISE), 2010 International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-428-2
DOI :
10.1109/ISISE.2010.15