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A Novel Color Edge Detection Technique Using Hilbert Transform

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)

Abstract

This paper presents a new technique for edge detection in color images, employing the concept of Hilbert transform. The color image at the input is initially transformed using a RGB color triangle, followed by the application of the proposed edge detection technique. Combination of bilateral filtering with Hilbert transform in the proposed technique makes it effective for edge detection in noisy environment. Computer simulations are performed on noise free as well as noisy images (corrupted with impulse noise), which portray marked improvement in edge detection in comparison to other techniques.

Keywords

Bilateral filtering Edge detection Hilbert transform Pratt’s figure of merit (PFOM) RGB color space 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Deptt. of Electronics and Communication EngineeringShri Ramswaroop Memorial Group of Professional CollegesLucknowIndia

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