DocumentCode
162561
Title
An Evaluation of Popular Edge Detection Techniques in Digital Image Processing
Author
Anandakrishnan, N. ; Baboo, S. Santhosh
Author_Institution
Dept. of Comput. Sci., Bharathiar Univ., Coimbatore, India
fYear
2014
fDate
6-7 March 2014
Firstpage
213
Lastpage
217
Abstract
Edge is a sudden change that occurs in an image. Edge Detection is the approach used most frequently for segmenting images based on abrupt changes in intensity. It is a concept that covers a number of fields in today´s environment. In this paper the survey of different Edge Detection techniques like classical, augmented or may be a derived algorithm in different bases such as Fuzzy Logic, Genetic Algorithm, or Neural Networks and others which are used as Soft Computing Approaches today, are comparatively studied.
Keywords
edge detection; fuzzy logic; genetic algorithms; neural nets; digital image processing; edge detection techniques; fuzzy logic; genetic algorithm; neural networks; soft computing; Detectors; Image color analysis; Image edge detection; Image segmentation; Laplace equations; Neural networks; Noise; Edge; Otsu; hysteresis threshold method; image segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location
Coimbatore
Type
conf
DOI
10.1109/ICICA.2014.53
Filename
6965043
Link To Document