测绘科学技术学报2012，Vol.29Issue(6)：435-439,5.DOI:10.3969/j.issn.1673-6338.2012.06.011
基于图像灰度的点特征提取算子参数自适应研究
Parameters Adaptive Study of Interest Point Detect Operators Based on Image's Gray
摘要
Abstract
At present the parameters of the method based on image's gray to detect the interest points are setted manually based on experience, however, it often can't detect better interest points until compare the detection the different parameters several times. It is necessary to study the parameters adaptive of each operator. The influence of operators' parameters were evaluated by testing a real taken image here, on this basis, automatic parameterization algorithms of the operators were proposed, and the extraction of the algorithms which automatically set parameters were tested by three different contrast images. The study results showed that the algorithms which auto-set parameters can automatically detect the excellent parameters, avoid the uncertainty of manual-set parameters, and improve the efficiency of interest point detection.关键词
点特征提取/Moravec算子/Harris算子/Forstner算子/参数自适应Key words
interest point detect/ Moravec operator/ Harris operator/ Forstner operator/ parameter adaptive分类
天文与地球科学引用本文复制引用
王启春,郭广礼,查剑锋..基于图像灰度的点特征提取算子参数自适应研究[J].测绘科学技术学报,2012,29(6):435-439,5.基金项目
国家自然科学基金重点项目(50834004) （50834004）
国家科技支撑计划项目(2012BAB13B03) （2012BAB13B03）
江苏高校优势学科建设工程项目(SA1102). （SA1102）
