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