Sub-Pixel Edge Detection of Color Image Based on Dimensionality Reduction Technique and Curve Fitting

Feng Xiao; Li Na Guo

doi:10.4028/www.scientific.net/AMM.433-435.281

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Sub-Pixel Edge Detection of Color Image Based on...

Sub-Pixel Edge Detection of Color Image Based on Dimensionality Reduction Technique and Curve Fitting

Abstract:

In order to solve the problem of the color characteristic information is often ignored in color image edge detection process, we propose a new color image sub-pixel edge detection method, which uses Ostu algorithm to get coarse positioning edges and extracts sub-pixel edge on the combination of curve fitting and coarse positioning edge in the projected image obtained by dimensionality reduction technique.Experimental results show that the algorithm positioning accuracy can reach 0.14 pixels,it is able to extract color image edge information effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

281-287

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.281

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Online since:

October 2013

Authors:

Feng Xiao, Li Na Guo

Keywords:

Color Image, Curve Fitting, Dimensionality Reduction, Ostu, Sub-Pixel Edge Location

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