DocumentCode :
2887300
Title :
Detecting corner points from digital curves
Author :
Sarfraz, Muhammad
Author_Institution :
Dept. of Inf. Sci., Kuwait Univ., Safat, Kuwait
fYear :
2011
fDate :
22-25 March 2011
Firstpage :
1
Lastpage :
9
Abstract :
Corners in digital images give important clues for shape representation and analysis. Corner points represent important features of an object that may be useful at subsequent levels of processing. If the corner points are identified properly, a shape can be represented in an efficient and compact way with sufficent accuracy in many shape analysis problem. This paper reviews some well referred algorithms. By the empirical study, it has been observed that the some of the methods prove to be superior to the others from different aspects.
Keywords :
computational geometry; image processing; shape recognition; corner point detection; digital curves; digital images; shape analysis; shape representation; Accuracy; Algorithm design and analysis; Detection algorithms; Detectors; Equations; Indexes; Shape; Corner Points; algorithms; corner detector; planar curves; planar shapes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Devices (SSD), 2011 8th International Multi-Conference on
Conference_Location :
Sousse
Print_ISBN :
978-1-4577-0413-0
Type :
conf
DOI :
10.1109/SSD.2011.5993559
Filename :
5993559
Link To Document :
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