Publication Type:

Journal Article

Source:

Communications in Computer and Information Science, Springer Verlag, Volume 679, p.24-41 (2016)

ISBN:

9789811032738

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006038167&doi=10.1007%2f978-981-10-3274-5_3&partnerID=40&md5=adbeb11fe078f2aa5c2158a5c6ac8177

Keywords:

Computer science, Computers, Edge detection, Hybrid edge detetion, Hybrid prewitt, Hybrid robert, Hybrid sobel, Important features, Intelligent Algorithms, nocv1, Real-world scenario

Abstract:

Pictures are considered to be the capture of a real world scenario and we second that “pictures speak more than words”. It is also understandable that information can also be taken out of an image. To extract the information out of the image, the most important feature is the edge. There are many techniques to detect edges. This paper has a detailed study about these different techniques and proposed an intelligent algorithm. Also an analysis of these algorithms on various datasets are done.

Notes:

cited By 0; Conference of 51st Annual Convention of the Computer Society of India, CSI 2016 ; Conference Date: 8 December 2016 Through 9 December 2016; Conference Code:187109

Cite this Research Publication

S. N. Abhishek, Dr. Shriram K Vasudevan, and Sundaram, R. M. D., “An enhanced and efficient algorithm for faster, better and accurate edge detection”, Communications in Computer and Information Science, vol. 679, pp. 24-41, 2016.

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