corner detection
角点检测
2026-05-05 23:22 浏览次数 16
角点检测
No RF Corner Rise Detection侦测不到右前避震器高位置信号
corner structure detection角点几何结构
No RR Corner Rise Detection侦测不到右后避震器高位置信号
corner points detection角点检测
No LR Corner Rise Detection侦测不到左后避震器低位置信号
Corner reflector detection角反射器检测
No LR Corner Lowering Detection侦测不到左后避震器低位置信号
No LF Corner Rise Detection侦测不到左前避震器高位置信号
the image process and corner detection of v groove seam based on structure light vision sensing has been studied.
对基于结构光视觉传感的v型焊缝图像预处理及拐点检测进行了研究。
this paper proposes a set of practical methods for corner detection used for x ray device calibration.
针对x射线机标定过程中的角点检测问题,该文设计了一套实用的处理方法。
detecting dominant points is an important subject in pattern recognition and computer vision. corner detection and polygonal approximation are two major approaches for dominant point detection.
景物的特征点抽取是模式识别及计算机视觉中的一个重要问题,已出现的多种检测特征点的方法中主要有角检测法和多边形逼近法。
an algorithm for stroke corner detection based on curvature multi-calculation is proposed to extract characteristics for olccr(on-line handwritten chinese character recognition).
提出一个基于多重曲率计算的角点检测算法,对联机手写汉字识别中的笔划拐点进行提取。
for the purpose of effective corner detection and precise localization, in this paper we propose an efficient invariant corner detection method based on wavelet transform.
为有效检测角点,并对之精确定位,本文着重介绍一种基于小波变换的不变性角点检测方法。
corner detection plays a very important role in pattern recognition and computer vision.
拐角检测在模式识别和机器视觉中有重要作用。
two simple and efficient algorithms of sub-pixel corner detection for camera calibration dy using plane pattern were presented.
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。
by comparison test, the new algorithm significantly improves the image corner detection performance.
通过对比实验,新算法明显地提高了图像角点的检测性能。
lastly, based on the research of the important image feature, i. e. corner, a new accumulative intersection space based corner detection method is developed.
最后,本文对一种重要的图像特征——角点进行了研究,提出了一种新的基于交点累积空间的角点提取算法。
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。
the hough transform, round-degree method, and the corner detection method are the main circle detection methods.
主要研究了hough变换圆检测法、圆形度法和拐角检测法。
among the many image features, not only do the corners have the least amount of data, but also they are quite stable, which makes corner detection as an important branch of feature extraction.
在众多图像特征中,角点不仅具有最少的数据量,而且稳定性极高,这使角点检测成为特征提取的重要分支。
second, an improved corner detection algorithm based on multi-scale space was proposed.
其次,提出在多尺度空间下改进角点检测算法。
invariant corner detection is a most important preprocessing step for image shape classification and recognition.
在图像形态分类与识别系统中,不变性角点检测是很重要的预处理环节。
in this paper, we propose a fast and novel corner detection algorithm with high-precision by designing a new corner qualification and a corner response function.
本文提出了一种快速、高精度的角点检测算法,算法简单新颖,角点条件和角点响应函数设计独特。
experiment results illustrate that spatial moment corner detection approach has more accuracy and robustness than css and cop methods.
实验证明,空间矩角特征提取方法相对css和cop算法具有更好的準确性和鲁棒性。
the corner detection algorithm, avoidance of the degeneration problem and the fundamental matrix iterative optimization algorithm based on rank-2 constraint were introduced.
给出了角点检测算法、退化问题的避免措施以及基于秩2约束的基础矩阵迭代优化求解的方法。
we observed that corners are the saddle points in the vector potential. the saddle point detection algorithm is based on a simple template matching. the corner detection result is given.
提出图象的角点位于该矢势图的鞍点和基于模板匹配的鞍点检测算法,并给出实际的角点检测结果。
a 2d planar pattern is built, and an improved susan operator for sub -pixel corner detection is proposed, which has high speed and positioning accuracy.
介绍了2d平面标定靶标制作规范,给出了一种改进型susan算子进行角点亚像素检测的方法,该方法具有速度快、定位精度高等优点。
however, most of the corner detection algorithms are merely implemented in the experimental level, lacking of mathematical demonstration.
然而目前的角点检测算法更多的是在实验层面得到解释,缺乏系统的数学理论论证。
another way to corner detection is to calculate the contour of the curvature function, because the corner is the maximum curvature function, it is easy to pass the threshold used to detect them.
角点检测的另一个途径是计算轮廓的曲率函数,因为角点是曲率函数的最大值,因此很容易通过阈值的方法检测出来。
an improved susan corner detection operator was proposed herein aiming at susan operator's deficiency revealed in detecting chessboard corners.
针对susan算子在检测棋盘格角点这一特殊类型角点时出现的不足,提出了改进的susan角点检测算子。