Edge Detection Approaches in the Taxonomy of Soft Computing-A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014 | Popularity: 6.2 / 10


     

Edge Detection Approaches in the Taxonomy of Soft Computing-A Survey

Somya Saxena


Abstract: Vision is the process discovered from images related to the fact that what is there in the world and where it is. Problems related to the vision are tackled in the taxonomy of image processing under image segmentation. Edge detection is the process which deals with the images that contain noise; imprecise data; blur image. Basically edge detection is locating and identifying sharp discontinuities in the intensity of image. This paper contains a survey of techniques used in edge detection and makes a comparison between different edge detectors using neural network; fuzzy logic and neuro fuzzy system.


Keywords: Edge Detection, Fuzzy Inference System, Neural network, Neuro Fuzzy System, Fuzzy logic


Edition: Volume 3 Issue 5, May 2014


Pages: 416 - 419



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Somya Saxena, "Edge Detection Approaches in the Taxonomy of Soft Computing-A Survey", International Journal of Science and Research (IJSR), Volume 3 Issue 5, May 2014, pp. 416-419, https://www.ijsr.net/getabstract.php?paperid=20131767, DOI: https://www.doi.org/10.21275/20131767

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