Title :
Method of boundary detection based on B-spline curve fitting
Author :
Lu Shaofang ; Wang Kun ; Li Yufang ; Chen Yuncong
Author_Institution :
Sch. of Commun. Eng., Jilin Univ., Changchun, China
Abstract :
In order to enhance the tracking accuracy and efficiency of the target area in vision navigation, this paper presents a new kind of boundary extraction n algorithm. It begins preprocessing the acquisition image to get binary image, then fills binary image area based on mathematical morphology to binary image and extracts boundary with classical algorithms, fuses many boundary information into a border area, finally applied non-uniform rational B-spline interpolation method to fit curve. The presented results indicate that this algorithm can correct extract arbitrary complicated shape boundary fast, which definitely provides a better basis for the following image processing.
Keywords :
computer vision; curve fitting; edge detection; interpolation; splines (mathematics); B-spline curve fitting; binary image; boundary detection; boundary extraction; image processing; mathematical morphology; nonuniform rational B-spline interpolation; tracking accuracy; vision navigation; Algorithm design and analysis; Curve fitting; Image processing; Robots; Spline; Surface reconstruction; Surface topography; B-Spline Curve; Boundary Extraction; Curve Fitting; Image Processing;
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768