Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

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.