DocumentCode :
144650
Title :
Image Segmentation Methods: A Survey Approach
Author :
Chauhan, Amit Singh ; Silakari, S. ; Dixit, Mridul
Author_Institution :
Dept. of CSE, Madhav Inst. of Technol. & Sci., Gwalior, India
fYear :
2014
fDate :
7-9 April 2014
Firstpage :
929
Lastpage :
933
Abstract :
Image Segmentation is one of basic problem and is an important step in image processing to distinguish important object that is of our interest from unnecessary background substrates. So, quality of this step also affects the subsequent steps of recognition. In this paper, we have compiled Edge detection method, Thresholding method, Region based method, and Clustering.
Keywords :
edge detection; image segmentation; object recognition; vectors; edge detection; image processing; image segmentation; image thresholding; k-means clustering; object recognition; supervised clustering; Communication systems; Clustering; Digital Image Processing; Edge Detection; Image Segmentation; Region based Segmentation; Thresholding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4799-3069-2
Type :
conf
DOI :
10.1109/CSNT.2014.191
Filename :
6821536
Link To Document :
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