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极大值抑制与双阈值门限得到图像边缘：
* nonmaxsup.m Code for performing non-maxima suppression for edge images.
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极大值抑制与双阈值门限得到图像边缘：
* nonmaxsuppts.m Code for performing non-maxima suppression and thresholding of points generated by a feature/corner detector. It optionally returns sub-pixel feature locations.
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用c++实现canny算子——高斯滤波，求梯度，非极大值抑制-C++ implementation with a canny operator- Gaussian filter, find the gradient, non-maxima suppression
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harry角点检测c++源代码，利用差分算子对图像进行滤波，对Ix2/Iy2/Ixy进行高斯平滑，以去除噪声，计算角点量，进行局部非极大值抑制以获得最终角点-harry corner detection c++ source code, the use of differential operators on image filtering, Gaussian smoothing of Ix2/Iy2/Ixy to remove noise, calculate the amount of co
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用于图像处理的matlab工具包，由Peter Kovesi制作，主要包含特征提取，各项异性滤波，灰度转换、图像去噪等，对图像处理的人来说非常有用。
-MATLAB and Octave Functions
for Computer Vision and Image Processing， including:
Feature Detection via Phase Congruency
Spatial Feature Detection
Integral Im
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利用openCV找出已知图像中的角点， 利用slider bar 控制临界值， 并显示出通过临界值的角点像素， 并用non-maxima suprression 使之变稀疏并显示-routines in OpenCV to demonstrate the operations of the Harris Corner detector. 1. Open the image box_in_scene.jpg and show the image in a window.
2. Compute
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Non maxima suppression and thresholding for points generated by a feature
or corner detector.
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The non maximal suppression code is written in Java and applets.
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Canny算子边缘检测图像，先进行高斯滤波，计算梯度幅值和方向，非极大值抑制，双阈值检测和连接边缘。-Canny edge detection operator image, first the Gauss filtering, calculation of gradient magnitude and direction, non-maxima suppression, dual edge threshold detection and connection.
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采用Canny算法进行边缘检测。1用高斯滤波器平滑图像。2用一阶偏导的有限差分3对梯度幅度进行非极大值抑制。4用双阈值。5采用高斯平滑函数-Canny edge detection algorithm used. A smooth image with a Gaussian filter. 2 with the first-order partial derivatives of the finite difference gradient magnitude 3 on the non-maxi
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Function for performing non-maxima suppression on an image
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自己实现的canny边缘检测算子，包括高斯滤波，非极大值抑制，双阈值处理，边缘细化等步骤。-Own implementation of canny edge detection operator, including the Gaussian filtering, non-maxima suppression, double threshold, edge thinning step.
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Many state-of-the-art approaches for object recognition
reduce the problem to a 0-1 classifi cation task. Such re-
ductions allow one to leverage sophisticated classifi ers for
learning. These models are typically trained independentl
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采用Canny算法进行边缘检测。主要包括以下几个步骤：1、用高斯滤波器平滑图像。2、用一阶偏导的有限差分计算梯度的幅值和方向。3、对梯度幅值进行非极大值抑制。4、用双阈值算法检测和连接边缘。5、采用高斯平滑函数-Using the Canny edge detection algorithm. Include the following steps: 1, smooth image with a Gaussian filter. 2, first-order partial derivative
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harris角点提取算法，可以设置高斯差分窗口大小、非极大值抑制的邻域大小、高斯函数方差大小-harris corner extraction algorithm, you can set the window size of the Gaussian difference, non-maxima suppression of the size of the neighborhood, the size of the variance of the Gaussian function
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关于计算机视觉和图像的matlab工具箱。包括相位一致性特征，空间特征检测，积分图像，非极大值抑制和滞后阈值，边链接和线段拟合，去噪，等-MATLAB and Octave Functions
for Computer Vision and Image Processing。such as • Feature Detection via Phase Congruency
• Spatial Feature Detection
• Integral
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Harris角点提取程序。进行极大值抑制后过滤部分角点效果更佳。-Harris corner extraction procedures. Performed after filtering section maxima suppression corner better.
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利用opencv实现改进harris局部极大值抑制,针对opencv自带角点检测作出一定改进。-Improved Harris local maxima suppression
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对特征值进行非极大值抑制的角点检测，并且选用了合适的阈值加强检测效果-corner detection by non-maxima suppression of Eigenvalues and selected the appropriate threshold to enhance detection
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对角点响应函数进行非极大值抑制的角点检测，同时使用了阈值算法，改进效果-corner detection by non-maxima suppression of corner response function and using a threshold algorithm to improve results
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