A study on contour extraction method in computer vision measurement technology
Zhongyuan Cui, Hong Zhang
COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5B) 88-91
School of Computer Science and Technology & School of Software, Zhoukou Normal University, Zhoukou 466001, CHINA
Image segmentation and border extracting technology play an important role in the computer vision measurement system Aiming at the shortcomings of traditional edge detection methods, considering the features of computer vision measurement, a practical contour extraction method is introduced. In the method, image segmentation is based on the gray threshold method, the mathematical morphology method is adopted to remedy the defects of binary image, the contour of image is stored into chain一code through contour tracking algorithm. Using this method, the one一pixel一wide border of image can be easily extracted. The principles and algorithms of key technologies of the method are described. The experiments show that the features of the method such as denoise and precision are better than that of the traditional edge detection methods. It can be applied to practical engineering measurement system.