Color Image Edge Detection using Pseudo-Complement and Matrix Operations
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32799
Color Image Edge Detection using Pseudo-Complement and Matrix Operations

Authors: T. N. Janakiraman, P. V. S. S. R. Chandra Mouli

Abstract:

A color image edge detection algorithm is proposed in this paper using Pseudo-complement and matrix rotation operations. First, pseudo-complement method is applied on the image for each channel. Then, matrix operations are applied on the output image of the first stage. Dominant pixels are obtained by image differencing between the pseudo-complement image and the matrix operated image. Median filtering is carried out to smoothen the image thereby removing the isolated pixels. Finally, the dominant or core pixels occurring in at least two channels are selected. On plotting the selected edge pixels, the final edge map of the given color image is obtained. The algorithm is also tested in HSV and YCbCr color spaces. Experimental results on both synthetic and real world images show that the accuracy of the proposed method is comparable to other color edge detectors. All the proposed procedures can be applied to any image domain and runs in polynomial time.

Keywords: Color edge detection, dominant pixels, matrixrotation/shift operations, pseudo-complement.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056388

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2286

References:


[1] J.T.Allen and T. Huntsberger, "Comparing color edge detection and segmentation methods", IEEE SouthEastCon-89, pp.722-728, 1989.
[2] Anil K. Jain, "Fundamentals of digital image processing", Prentice-Hall, Englewood Cliffs, 1989.
[3] T. Carron and P. Lambert, "Color edge detector using jointly hue, saturation and intensity", proceedings of IEEE International Conference on Image Processing, pp.977-981, 1994.
[4] T. Carron and P. Lambert, "Fuzzy color extraction by inference rules - quantitative study and evaluation performances", proceedings of IEEE International Conference on Image Processing, pp.181-184, 1995.
[5] R. Nevatia, "A color edge detector and its use in scene segmentation", IEEE Transactions on Systems, Man Cybernetics, Vol. 7, pp.820-826, 1977.
[6] M.A. Abidi, R.A. Salinas, C. Richardson and R.C. Gonzalez, "Data fusion: color edge detection and surface reconstruction through regularization", IEEE Transactions on Ind. Electron.,43(3), pp.355-363, 1996.
[7] P.E. Trahanias and A. N. Venetsanopoulos, "Vector order statistics operators as color edge detectors", IEEE Transactions on Systems, Man, Cybernetics, 26(1), pp.135-143, 1996.
[8] J. Canny, "A computational approach to edge detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 8(6), pp.679-698, 1986.
[9] C.L. Novak and S.A. Shafer, Color edge detection", Proceedings of DARPA Image Understanding workshop, Los Angeles, CA, USA, vol.1, pp.35-37, 1987.
[10] A. Koschan, "A comparative study on color edge detection", Proceedings of 2nd Asian Conference on Computer Vision, ACCV 95, vol.3, pp. 574-578, 1995.
[11] R. Machuca and K. Philips, "Applications of vector fields to image processing", IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(3), pp316-329, 1983.
[12] T.N. Janakiraman and P.V.S.S.R. Chandra Mouli, "A Robust Preprocessing step for efficient edge detection", Proceedings of IEEE sponsored Intl. Conference ACVIT-07,Aurangabad, pp.810-815, 2007.
[13] T.N. Janakiraman and P.V.S.S.R. Chandra Mouli, "Dominant Pixel Identification from Gray-level Image using various matrix rotation operations - An application to Edge Detection", Proceedings of IEEE sponsored Int. Conference ICSCN-08, Chennai, pp.510-513, 2008.