1) Forstner operator
Forstner算子
1.
The method has four steps: The first is to extract feature points of reference image and being matched image by Forstner operator,the next is to derive the initial matching relation and matching points by using rotation invariance,the third is to eliminate false matching points by voting algorithm,the last is to acquire accurate registration p.
图像配准算法分为四个步骤:用Forstner算子分别提取参考图像与待配准图像的特征点;使用旋转不变特征向量获取特征点之间的初始匹配关系;使用投票算法剔除误匹配点对,获取正确配对的同名点对;用最小二乘方法由正确配对的同名点对获取图像之间的配准参数。
2.
Based on SUSAN operator,this paper put forward an effective approach to automatically recognize and locate sub-pixel corners using Forstner operator to select characteristic points.
该方法采用一种由粗到精的多层次检测策略,先采用SUSAN算法对角点粗定位,在此基础上用Forstner算子对角点精确定位。
2) Forstner interest operator
Forstner点特征提取算子
3) Forstner method
Forstner法
1.
and between separability and Forstner method were discussed,the analysis and explaination were given.
根据单个备选假设的统计检验,详细导出了模型误差的可区分度公式,并论述了可区分度与可发现度及与Forstner法的关系。
4) Forstner feature points
Forstner特征点
5) Forstner distance
Forstner距离
6) operator
[英]['ɔpəreɪtə(r)] [美]['ɑpə'retɚ]
算子
1.
Application of edge detection methods based on operators to the analysis of body digital images;
基于算子的人体数字图像边缘检测算法
2.
Hybrid aggregation operator and its application to multiple attribute decision making problems;
一种混合集结算子及其在多属性决策中的应用(英文)
3.
Combined weighted geometric averaging operator and its application;
一种组合加权几何平均算子及其应用
补充资料：凹算子与凸算子
凹算子与凸算子
concave and convex operators
凹算子与凸算子「阴~皿d阴vex.耳阳.勿韶;.留叮.肠疽“‘.小啊j阅雌口叹甲司 半序空间中的非线性算子，类似于一个实变量的凹函数与凸函数. 一个Banach空间中的在某个锥K上是正的非线性算子A，称为凹的(concave)(更确切地，在K上u。凹的)，如果 l)对任何的非零元x任K，下面的不等式成立: a(x)u。(Ax续斑x)u。，这里u。是K的某个固定的非零元，以x)与口(x)是正的纯量函数; 2)对每个使得 at(x)u。续x《月1(x)u。，al，月l>0，成立的x‘K，下面的关系成立二 A(tx))(l+，(x，t))tA(x)，0
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条