COMPARATIVE STUDY ON INTEREST POINT DETECT OPERATORS BASED ON IMAGE’S GRAY AND IMPROVEMENT
Wang Qichun 1, 2,3) ; Guo Guangli 1,2,3) ;Zha Jianfeng 1,2,3) ; and Liu Shen 3)
1)China University of Mining and Technology,Key Laboratory for Land Environment and Disaster Monitoring of SBSM,Xuzhou 221116;2)China University of Mining and Technology,Jiangsu Key Laboratory of Resources and Environmental Information Engineering,Xuzhou 221116; 3)China University of Mining and Technology,Shool of Environment Science and Spatal Informatics, Xuzhou 221116
Abstract：This method based on image’s gray to detect the interest pointis mainly includes Moravec operator, Harris operator, Forstner operator and the improved Forstner operator nowadays, and there are some differences in the detect speed, positioning accuracy, stability between different operators. In this paper the detect speed, positioning accuracy, stability and parameters’ suitability of each operator are evaluated by testing a artificial test image and a really taken image, and the test results show the advantages and disadvantages of each operator. A improved operator is proposed based on the test results. The study results show that the improved operator has the characteristics of strong stability, high positioning accuracy and autosetted threshold.
Wang Qichun,$author.xingMing_EN,Guo Guangli et al. COMPARATIVE STUDY ON INTEREST POINT DETECT OPERATORS BASED ON IMAGE’S GRAY AND IMPROVEMENT[J]. jgg, 2012, 32(2): 148-154.
