This paper present a new corner detection method.
提出一种新的图象角点检测方法。
A new and effective method of corner detection is proposed.
提出了一种有效的角点提取的方法。
The uniform model of corner detection has also been established.
对拐点给出了统一的检测和实现模型。
A novel corner detection method based on spatial moments was presented in this paper.
提出一种基于空间矩的特征角检测方法。
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。
The tests show that the modified algorithm has higher precision in the corner detection.
实验表明，改进算法在进行角点检测时具有更高的精确度。
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。
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。
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。
To recognise the vehicles accurately and speedy, this paper presents a method based on SUSAN corner detection.
为了快速准确地进行车型识别，提出了一种基于SUSAN角点检测的识别方法。
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。
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。
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。
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。
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。
Sobel operator and gray square centrobaric arithmetic were synthesized with the improved SUSAN operator in subpixel corner detection.
在利用改进的SUSAN算子进行亚像素角点检测时，综合应用了索贝尔边缘算子、灰度平方重心法等方法。
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算法具有更好的准确性和鲁棒性。
First of all, to improve the Harris corner detection algorithm, effectively improve the extraction of feature points of the speed and accuracy.
首先改进Harris角点检测算法，有效提高所提取特征点的速度和精度。
An improved algorithm for corner detection is based on the property of corners that the change of image intensity should be high in all direction.
提出了一种改进的角点提取算法，该算法是基于角点的性质，即在角点的某个邻域内，图像灰度的变化在任意一条通过该点的直线上都很大。
Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.
在上述改进的角点检测算法基础上，本文提出了结合区域匹配的图像自动配准算法。
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。
This paper proposes an improved corner detection algorithm, based on the property of corners that the change of image intensity must be high in all directions.
提出了一种改进的角点提取算法。该算法是基于角点的性质，即在角点的某个邻域内，图像灰度变化在任意一条通过该点的直线上都很大。
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。
Filtering the intensity image by CB morphological filters, the idea of CB morphological scale space is constructed, by which to realize multi scale corner detection.
用CB形态滤波器对灰度图进行滤波，构成CB形态学尺度空间，以实现对拐角的多尺度检测。
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。
This paper attempt to summarize corner detection method in gray-level image, binary image and curve of edge, also to compare with many property of corner detection algorithm.
对灰度图像、二值图像、边缘轮廓曲线的角点检测算法进行综述，分析了相关的算法，并对各种检测算法给出了评价。
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。
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。
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。
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