2-Dimension Polynomial Fitting for the Edge Detection

Abstract:

The gray-scale digital image is two-dimension, most of the previous polynomial fitting methods for edge detection belong to one-dimension methods. The new method of two-dimension polynomial fitting for edge detection is presented. The grey level data of the interest area around the edge in the image are fitted by the two-dimension polynomial function. The edge of interest is identified by finding the maximum of the form of gradient of the fitting function. Because the two-dimension fitting is actually more suitable for the two-dimension image, the fitting results of two dimension method are significantly better than that of the one-dimension method. It is shown through the analysis of the synthesis image that the results of surface fitting and edge identification used of the proposed method are quite good.

• Periodical: Applied Mechanics and Materials (Volume 389)
• Pages: 969-973
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.389.969
• Online since: August 2013
• Authors: Xiang Rong Yuan
• Keywords: Deformation Measurement, Edge Detection, Surface Fitting, Two Dimension Polynomial Fitting

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