Improved Sobel Algorithm Based Image Edge Detection using Gaussian Filter

Authors(2) :-Priyanka Pawar, Deepti Rai

Edge detection from images is one of the most important concerns in digital image and video processing. With development in technology, edge detection has been greatly benefited and new avenues for research opened up, one such field being the real time video and image processing whose applications have allowed other digital image and video processing. It consists of the implementation of various image processing algorithms like edge detection using Sobel, Prewitt, Canny and Robert etc. A different technique is reported to increase the performance of the edge detection. The algorithmic computations in real-time may have high level of time based complexity and hence the use of MATLAB and Image processing system for the implementation of such algorithms is proposed here. Processor is a dedicated high speed image processing module for use in a wide range of image analysis systems. It is observed that techniques which follow the stage process of detection of noise and filtering of noisy pixels achieve better performance than others. In this thesis such schemes of Sobel, Prewitt, Canny and Robert detector are proposed.

Authors and Affiliations

Priyanka Pawar
DoEC, AIT, Ujjain, Madhya Pradesh, India.
Deepti Rai
DoEC, AIT, Ujjain, Madhya Pradesh, India.

Robert, Sobel, Prewit, Edge Detection, Gaussian Filter.

  1. Heath M.,Sarker S.,Sanocki T.and Bowyer K.,"Comparison of Edge Detectors: A Methodology and Initial Study",Proceedings of CVPR'96 IEEE Computer Society Conference on Computer Vision and Pattern Recognition,pp.143-148,2014.
  2. Li Dong Zhang;Du Yan Bi;"An improved morphological gradient edge detection algorithm",Communications and Information Technology,ISCIT 2015.IEEE International Symposium on Volume 2,Page(s):1280-1283,12-14 Oct.2015.
  3. Zhao Yu-qian;Gui Wei-hua;Chen Zhen-cheng;Tang Jing-tian;Li Ling-yun;"Medical Images Edge Detection Based on Mathematical Morphology"Engineering in Medicine and Biology Society,IEEE-EMBS.27th Annual International Conference,Page(s):6492-6495,01-04 Sept.2015.
  4. Fesharaki,M.N.;Hellestrand,G.R.;"A new edge detection algorithm based on a statistical approach",Speech,Image Processing and Neural Networks,Proceedings,ISSIPNN '94.International Symposium,Page(s):21 -24 vol.1,13-16 April  2014.
  5. Gonzalez,R and Woods,R.,"Digital Image Processing"2/E,Prentice Hall Publisher,2012
  6. J.S.Lim,"Two Dimensional Signal and Image Processing,"Prentice Hall,Englewood Cliffs,New Jersey,2013.
  7. Robert A.Schowengerdt,"Remote sensing,Models and Methods for Image Processing,"2012.
  8. Berzins,"V.Accuracy of Laplacian Edge Detector Computer Vision,Graphics,and Image Processing,,"Vol.27,pp.195-210,2013.
  9. D.H.Ballard and C.M.Brown,"Computer Vision,"Prentice-Hall,New Jersey,2014.
  10. J.M.S.Prewitt,"Picture Processing and Psychpictorics,"B.S.Lipkin and A.Rosenfeld Eds,Academic Press,New York,2013.
  11. R.O.Duda.and P.E.Hart,"Pattern Classification and Scene Analysis,"Wiley,New York,2013.
  12. I.E.Abdou and W.K.Pratt,Quantitative design and evaluation of enhancement/thresholding edge detectors,in Proceedings of the IEEE,May 2014,pp.753-763.
  13. J.R.Fram and E.S.Deutsch,On the quantitative evaluation of edge detection schemes and comparison with human performance,IEEE Trans.Comput.C-24,1975,616-628.
  14. T.Peli and D.Malah,A study of edge detection algorithms,20,1982,1-21.
  15. V.Ramesh and R.M.Haralick,Random perturbation models and performance characterization in computer vision,in Proceedings of the Conference on Computer Vision and Pattern Recognit.,1992,pp.521-527.
  16. D.Nair,A.Mitiche,and J.K.Aggarwal,On comparing the performance of object,in International Conference on Image Processing,1995.

Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 561-567
Manuscript Number : IJSRSET1738149
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Priyanka Pawar, Deepti Rai, " Improved Sobel Algorithm Based Image Edge Detection using Gaussian Filter, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.561-567, November-December-2017.
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