Title :
An Improved Algorithm for Harris Corner Detection
Author :
Ye, Zhiyong ; Pei, Yijian ; Shi, Jihong
Author_Institution :
Sch. of Inf., Yunnan Univ., Kunming, China
Abstract :
Corner points are formed from two or more edges and edges usually define the boundary between two different objects or parts of the same objects. In this novel we discuss the theory of the Harris corner detection and indicate its disadvantage. Then it proposes an improved algorithm of Harris detection algorithm based on the neighboring point eliminating method. It reduces the time of the detection, and makes the corners distributing more homogenous so that avoids too many corners stay together. Experimental results show that the algorithm can detect corner more equality distributing, and can be used in some fact applications such as image registration well.
Keywords :
edge detection; image registration; Harris corner detection; image registration; neighboring point eliminating method; Autocorrelation; Brightness; Change detection algorithms; Clustering algorithms; Detection algorithms; Eigenvalues and eigenfunctions; Feature extraction; Image edge detection; Image registration; Object detection;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304635