Title :
Self-adaption harris corner detection algorithm based on image contrast area
Author :
Sun Liang ; Wang Shuangqing ; Xing Jianchun ; Wang Shiqiang
Author_Institution :
Coll. of Defense Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
Since threshold value of Harris algorithm can only be set by human by virtue of experience and corner point cannot be effectively extracted in different image contrast areas, this text proposes a new self-adaption improved algorithm. Firstly, image pixels will be screened by Sudoku method; then, partial mean square error of the screened pixels will be calculated to determine the contrast ratio of the area where the pixel is located to; finally, the optimal matching corner point will be obtained. Besides, experiments are required to prove effectiveness and feasibility of the algorithm.
Keywords :
edge detection; feature extraction; image matching; mean square error methods; Harris corner detection algorithm; Sudoku method; image contrast area; image pixel screening; optimal matching corner point; partial mean square error; self-adaption improved algorithm; Algorithm design and analysis; Detection algorithms; Gray-scale; Mean square error methods; Microwave integrated circuits; Robustness; Harris corner point detection; Image Contrast Area; Image processing; self-adaptive;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162302
