Research on Phase Information in Measure System to Cable Insulation Parameters

• Published in: 2009 Second International Workshop on Computer Science and Engineering Vol. 2; pp. 399 - 403
• Main Authors: Chun-ling Fan, Yan-hai Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2009
• Subjects: Cable insulation; cable insulation layer; Computer vision; Image edge detection; Image processing; Log Gabor wavelet transform; Object detection; phase congruency; Phase detection; phase information; Phase measurement; Stability; Wavelet analysis; Wavelet transforms
• ISBN: 9781424452859; 9780769538815; 0769538819; 1424452856
• DOI: 10.1109/WCSE.2009.839

The algorithm for image edge detection based on phase information is getting more and more application in image feature detection. After verifying the importance and stability of phase information in image processing, the importance of phase information and the application in feature detection are discussed, and then, phase congruency function is studied on. With analysing the relation between phase congruency function and local energy function, this thesis chooses Log Gabor wavelet transform to calculate local energy function compared with Gabor wavelet transform. Moreover, phase congruency function is applied to detect object image edge. This method needs hypothesize nothing about images in advance. and it is just to pick up target image edge based on the signal phase's strend toward consistency in Fourier transform domain. Finally, the thesis makes use of algorithm for image edge detection based on phase information to obtain image edge with cable insulation layer as detected object. The experimental results prove that the algorithm for image edge detection based on phase information can bring into the effect. Moreover, the algorithm effectively detects image edge and exactly gets the diameter parameter.