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Segmentation of an Image Using an Edge Detection Method

Sivasankar Prasad

Abstract


Translation of picture substance is one of the objectives in PC vision unequivocally in picture handling. It has received a lot of attention from research in this time period. The division of an image into object and background is a significant step in image interpretation. An image is separated into its segment areas, or articles, by segmentation. Picture Division needs to fragment the thing from the establishment to examine the image fittingly and perceive the substance of the image warily. Edge detection is an essential tool for image segmentation in this setting. In this paper an undertaking is made to look at the exhibition of most conventionally used edge recognition techniques for picture division and moreover assessment of these methodology of these procedures can be finished by using MATLAB Programming.


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References


Wang, H. (2004). Robust statistics for computer vision: model fitting, image segmentation and visual motion analysis (Doctoral dissertation, Monash University).

Marr, D., & Hildreth, E. (1980). Theory of edge detection. Proceedings of the Royal Society of London. Series B. Biological Sciences, 207(1167), 187-217.

Tobias, O. J., & Seara, R. (2002). Image segmentation by histogram thresholding using fuzzy sets. IEEE transactions on Image Processing, 11(12), 1457-1465.

Thakare, P. (2011). A study of image segmentation and edge detection techniques. International Journal on Computer Science and Engineering, 3(2), 899-904.

Rafael, C. G., Richard, E. W., Steven, L. E., Woods, R., & Eddins, S. (2010). Digital image processing using MATLAB. Tata McGraw-Hill.

Ramadevi, Y., Sridevi, T., Poornima, B., & Kalyani, B. (2010). Segmentation and object recognition using edge detection techniques. International Journal of Computer Science & Information Technology (IJCSIT), 2(6), 153-161.

Robinson, G. S. (1977). Edge detection by compass gradient masks. Computer graphics and image processing, 6(5), 492-501.

Senthil Kumaran, N., & Rajesh, R. (2009, October). Image segmentation- a survey of soft computing approaches. In 2009 International Conference on Advances in Recent Technologies in Communication and Computing (pp. 844-846). IEEE.

Sowmya, B., & Rani, B. S. (2011). Colour image segmentation using fuzzy clustering techniques and competitive neural network. Applied Soft Computing, 11(3), 3170-3178.

Sehgal, U. (2011). Edge detection techniques in digital image processing using Fuzzy Logic. International journal of Research in IT and Management, 1(3), 61-66.


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