DocumentCode
3372894
Title
An improved algorithm for corner detection
Author
Chen Zhang ; Mengyang Zhao ; Liang Yuan
Author_Institution
Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China
Volume
9
fYear
2011
fDate
12-14 Aug. 2011
Firstpage
4639
Lastpage
4641
Abstract
Since detection result is not good enough when detecting real image using line search mechanism corner detection algorithm, a feature selection criterion based on priority and adaptive non-maximal suppression (ANMS) is proposed in this paper to control the number and density of features in the image. Experimental results show that the algorithm can detect corner more reasonable, and can be used in image mosaics well.
Keywords
edge detection; image segmentation; adaptive nonmaximal suppression; corner detection algorithm; feature selection criterion; image mosaics; line search mechanism; Algorithm design and analysis; Brightness; Clustering algorithms; Feature extraction; Image edge detection; Image segmentation; Testing; Corner detection; adaptive non-maximal suppression (ANMS); corner detection; feature extraction; line search; univalue segment assimilating nucleus (USAN);
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location
Harbin, Heilongjiang
Print_ISBN
978-1-61284-087-1
Type
conf
DOI
10.1109/EMEIT.2011.6024069
Filename
6024069
Link To Document