Abstract
An efficient method for color edge detection using a uniform color space and Euclidean distance between the color vectors is proposed. Two color vectors are perceptually distinguishable if Euclidean distance between them is greater than Just Noticeable Color Distance (JNCD) threshold. In the presence of noise, the threshold tends to be greater than JNCD and is adaptively determined from the statistical analysis of an image scan line. The edges are detected by determining and thresholding local extremities in each image scan line. The proposed operator is quantitatively evaluated on a set of test images using Pratt’s figure of merit. As opposed to other color edge detectors, the proposed method is time efficient. It takes only 1 second to compute edge map of a 400×400 color image, which makes it suitable for real time problems like obstacle detection, color cheque processing, etc.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Cabani, I., Toulminet, G., Bensrhair, A.: A fast and self-adaptive color setero vision matching: a first step for road obstacle detection. In: Proc. of Int. Vehicle Symp., pp. 58–63 (2006)
Trahanias, P.E., Venetsanopoulous, A.N.: Color edge detection using vector order statistics. IEEE Trans. Image Processing 2(2), 259–264 (1993)
Evans, A.N., Liu, X.U.: A morphological gradient approach to color edge detection. IEEE Trans. Image Proc. 15(6), 1454–1462 (2006)
Nezhadarya, E., Ward, R.K.: A new scheme for robust gradient vector estimation in color images. IEEE Trans. Image Proc. 20(8), 2011–2220 (2011)
Koschan, A., Abidi, M.: Detection and classification of edges in color images: A review of vector valued techniques. IEEE Signal Processing Magazine, 64–73 (January 2005)
Chen, X., Chen, H.: A novel color edge detection algorithm in RGB color space. In: Proc. of IEEE 10th International Conference on Signal Processing, pp. 793–796 (2010)
Machuca, R., Phillips, K.: Application of vector fields to image processing. IEEE Trans. Pattern Anal. Machine Intell., PAMI 5(3), 316–329 (1983)
Rivest, J.F., Soille, P., Beucher, S.: Morphological Gradients. J. Elec. Imag., 326–336 (1993)
Lee, J.S., Haralick, R.M., Shapiro, L.G.: Morphologic edge detection. IEEE Trans. Robot. Autom. 3(2), 142–156 (1987)
Liu, K.C., Chou, C.H.: Perceptual Constrast Estimation for Color Edge Detection. In: Proc. of 6th EURASIP Conference on Speech and Image Processing, Multimedia Communications and Services, pp. 86–89 (June 2007)
Mahy, M., Eycken, L.V., Oosterlinck, A.: Evaluation of uniform color spaces developed after the adoption of CIELAB and CIELUV. Color Research and Application 19(2), 105–121 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mittal, A., Sofat, S., Hancock, E. (2012). An Efficient Scheme for Color Edge Detection in Uniform Color Space. In: Kamel, M., Karray, F., Hagras, H. (eds) Autonomous and Intelligent Systems. AIS 2012. Lecture Notes in Computer Science(), vol 7326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31368-4_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-31368-4_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31367-7
Online ISBN: 978-3-642-31368-4
eBook Packages: Computer ScienceComputer Science (R0)