DocumentCode :
135024
Title :
Morphologically contour extraction of decisive objects from image
Author :
Mitra, Abhijit ; Roy, Sandip ; Setua, S.K.
fYear :
2014
fDate :
1-2 Feb. 2014
Firstpage :
1
Lastpage :
5
Abstract :
An image is the collection of some focused and non focused objects. Focused objects are treated as decisive objects of an image which helps a user in decision making. The objects in an image are the geometric shapes needed to be identified. Geometric shape of an image depends on the outer edges which are known as contour of that image. The proposed method extracts the contour of decisive objects from an image. Morphological operators empower the proposed method to achieve the goal. The proposal compared with several traditional edges detection techniques with respect to desired output and computation time to ensure its efficiency.
Keywords :
decision making; edge detection; object detection; decision making; decisive objects; edges detection techniques; geometric shapes; image contour; morphological operators; morphologically contour extraction; nonfocused object; Detection algorithms; Feature extraction; Image edge detection; Image segmentation; Morphological operations; Morphology; Object recognition; Dilation; Erosion; contour; decisive object; decompose; edge detection; focused object; hit or miss transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Control, Energy and Systems (ACES), 2014 First International Conference on
Conference_Location :
Hooghy
Print_ISBN :
978-1-4799-3893-3
Type :
conf
DOI :
10.1109/ACES.2014.6808015
Filename :
6808015
Link To Document :
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