COMPARATIVE STUDY ON INTEREST POINT DETECT OPERATORS BASED ON IMAGE'S GRAY AND IMPROVEMENT
基于图像灰度点特征提取算子的比较研究及改进

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 auto-setted threshold.