Picture of wind turbine against blue sky

Open Access research with a real impact...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

The Energy Systems Research Unit (ESRU) within Strathclyde's Department of Mechanical and Aerospace Engineering is producing Open Access research that can help society deploy and optimise renewable energy systems, such as wind turbine technology.

Explore wind turbine research in Strathprints

Explore all of Strathclyde's Open Access research content

Fusion of Intensity and Channel Difference for Improved Colour Edge Detection

Ren, Jinchang and Wang, D. and Jiang, J. and Ipson, S. (2008) Fusion of Intensity and Channel Difference for Improved Colour Edge Detection. In: Proceedings of Visual Information Engineering. UNSPECIFIED, pp. 18-22. ISBN 978-0-86341-914-0

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

Edge detection, especially from colour images, plays very important roles in many applications for image analysis, segmentation and recognition. In this paper, a new colour-gray mapping method for effective colour edge detection is proposed. From any given colour image C, a gray image D is defined as the accumulative differences between each of its two colour channels, and another gray image R is then obtained by weighting of D and gray intensity image G. Fusion of edges extracted from R and G forms the final results. Comparing with edges detected from traditional colour spaces like RGB, YCbCr and HSV, all using same Canny operator, it seems the proposed method can achieve more effective results from different test images.