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
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);
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
DOI :
10.1109/EMEIT.2011.6024069
