Abstract
Edge is an important feature for image segmentation and object detection. Edge detection reduces the amount of data needed to process by removing unnecessary features. Edge detection in color images is more challenging than edge detection in gray-level images. This paper proposes a method for edge detection of color images with automatic threshold detection. The proposed algorithm extracts the edge information of color images in RGB color space with fixed threshold value. The algorithm works on three channels individually and the output is fused to produce one edge map. The algorithm uses the Kuwahara filter to smoothen the image, sobel operator is used for detecting the edge. A new automatic threshold detection method based on histogram data is used for estimating the threshold value. The method is applied for large number of images and the result shows that the algorithm produces effective results when compared to some of the existing edge detection methods.
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
Chen, X., Chen, H., Chen, H.: A Novel Approach for Color Edge Detection in RGB Color Space. In: 10th IEEE International Conference on Signal Processing, pp. 793–797. IEEE Press, Germany (2010)
Niu, L., Li, W.: Color Edge Detection Based on Direction Information Measure. In: 6th World Congress on Intelligent Control and Automation, pp. 9533–9536. IEEE Press, China (2006)
Zou, J., Li, H., Liu, B., Zhang, R.: Color Edge Detection Based on Morphology. In: 1st International Conference on Communication and Electronics, p. 291. IEEE Press, China (2006)
Dikbas, S., Arici, T., Altunbasak, Y.: Chrominance Edge Preserving Grayscale Transformation with Approximate First Principal Componenet for Color Edge Detection. In: IEEE International Conference on Image Processing, p. 261. IEEE Press, USA (2007)
Liu, K.-C., Chou, C.-H.: Perceptual Contrast Estimation for Color Edge Detection. In: IEEE International Conference on Systems, Signals and Image Processing and 6th EURASIP Conference Focused on Speech and Image Processing, Multimedia Communications and Services, pp. 86–89. IEEE Press, Poland (2007)
Perumal, E., Rajesh, R.S., Shanugam, P.: Fuzzy-PL Transformation based Color Edge Detection. In: 16th International Conference on Advanced Computing and Communications, p. 297. IEEE Press, India (2008)
Wang, J., Liu, L.: Specific Color-pair Edge Detection using Quaternion Convolution. In: 3rd International Congress on Image and Signal Processing, pp. 1138–1140. IEEE Press, China (2010)
Datta, S., Chaudhuri, B.B.: A Novel Edge Detection in RGB Color Space. In: IEEE International Conference on Advances in Recent Technologies in Communications and Computing, India, p. 337 (2009)
Harish Kumar, J.R., Chaturvedi, A.: Edge Detection of Femur bone – A Comparative Study. In: IEEE International Conference on Signal and Image Processing, India, p. 337 (2009)
Navatia, R.: A Color Edge Detector and Its Use in Scene Segmentation. J. SMC-7, 820 (1977)
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
M.D., A., Arakeri, M.P., Reddy, G.R.M. (2012). An Approach for Color Edge Detection with Automatic Threshold Detection. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-642-29280-4_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29279-8
Online ISBN: 978-3-642-29280-4
eBook Packages: Computer ScienceComputer Science (R0)