1) Corner detection
角点检测
1.
Sub-pixel corner detection of tessellated picture based on camera calibration;
摄像机标定的棋盘格亚像素角点检测
2.
The improvement of corner detection of SUSAN algorithm;
SUSAN角点检测算法改进
3.
A New Algorithm of Corner Detection: Based on Image Edge and USAN Region;
基于图像边缘和USAN区域的角点检测方法
2) corner detector
角点检测
1.
The pixel level corners were detected by classical Harris corner detector,and then some methods were used to get sub-pixel accuracy.
针对摄像机标定模板图像的角点检测问题,提出了两种简便而有效的亚像素级精度的提取算法。
2.
Firstly,mean shift algorithm is used to cluster color blocks;secondly,Ostu binarization method is used for segmentation;thirdly,the feature points are extracted with KLT corner detector,to which an orientation is assigned according to the most fast varying gradient direction.
采用KLT角点检测算法提取出有效掌纹区域内的特征点,给每个特征点赋予方向,并根据局部区域特征构造方向不变的特征向量,所有特征点及其特征向量的集合构成了掌纹图像特征。
3) Corner detecting
角点检测
1.
It can measure circumgyrated angle of the iris by using of Harris corner detecting and Luca.
采用均衡化、形态滤波和形心计算等方法实现了瞳孔区域的自动定位和实时跟踪;通过Harris角点检测和Lucas-Kanade光流跟踪实时测量出虹膜的旋转角度,为前庭功能分析奠定了良好的基础。
4) comer detection
角点检测
1.
In this paper,an algorithm for comer detection and localization is proposed based on local orientation distribution (LOD).
提出了一种基于局部方向分布的角点检测与定位算法。
2.
The results show that the new comer detector has a good performance of accuracy,make the Forstner operator simple and can be facilely used in the comer detections.
为了优化 Forsmer 算子计算复杂度, 对 Forsmer 算子兴趣值的计算做了一点改进,并设置了新的阈值,通过实验与 Harris 算子进行比较,验证该算法不仅提高了角点检测的准确性,而且还简化了 Forsmer 算子的计算,使得该算法在角点检测中更好的被使用。
5) SUSAN corner detection
SUSAN角点检测
1.
SUSAN corner detection is a classical algorithm, but has not the property of scale change.
SUSAN角点检测是一种经典的角点检测算法,但不具有尺变化特性。
6) Harris corner detection
Harris角点检测
1.
Research into the effects of image quality on Harris corner detection;
图像质量对Harris角点检测的影响研究
2.
In order to solve the problem of large distortion on InSAR images,based on comparison of several registration methods on SAR and optical sensors images,a robust algorithm composed of coarse registration,Harris corner detection,correlation matching,Delaunay Triangulation is proposed.
为了解决星载InSAR非相干图像配准中不同区域对应不同形变参数的问题,将几种传统的SAR图像配准和光学图像配准的方法有机结合,提出了一种基于概略配准、Harris角点检测、相关系数匹配、Delaunay三角网剖分插值映射的InSAR复图像精确配准方法。
3.
In this paper,a novel Harris corner detection algorithm based on condition number is proposed.
该方法在Harris算法提取角点的基础上,采用条件数定量地分析了噪声对确定图像间变换关系的影响程度,通过阈值设定筛选出具有良好稳定性的角点,克服了Harris角点检测可能存在的角点位置偏移和易受噪而提取出伪角点等问题。
补充资料：脆性染色体位点检测法
脆性染色体位点检测法
诊法。亦称脆X染色体检测法。系检测某些智力低下及某些肿瘤病人染色体脆位点的细胞遗传学方法。脆X染色体与智力低下有关。外周血培养及染色体制备法同普通培养，但培养基为缺叶酸(MEMFA)或TC199加氨甲蝶啶(MTX)等，小量小牛血清(一般用5%)；pH值为74～75，培 养时间96小时。染色体标本以Giemsa染色后镜检，分析计数。发现标本中有染色体断裂(单体型或染色体型)或脆位点时详细记录。将有脆位点的标本脱油、褪色后，行G及其他有关染色体显带，以确定脆性染色体的区带。
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