Description: 高斯平滑滤波，绝对可用！希望给大家带来方便·本人也是个初学者，很希望能够得到大家的帮助。-Gaussian filtering, absolutely available! We hope to bring convenience I was a beginner, I hope we can get help. Platform: |
Size: 139890 |
Author:zhaoxiaoguang |
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Description: 高斯平滑滤波，绝对可用！希望给大家带来方便·本人也是个初学者，很希望能够得到大家的帮助。-Gaussian filtering, absolutely available! We hope to bring convenience I was a beginner, I hope we can get help. Platform: |
Size: 152576 |
Author:zhaoxiaoguang |
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Description: 混合高斯背景建模算法，包含了阴影消除方面的一些处理。-AppWizard has created this gauss application for you. This application
not only demonstrates the basics of using the Microsoft Foundation classes
but is also a starting point for writing your application. Platform: |
Size: 1920000 |
Author:luowen |
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Description: 最优的阶梯型边缘检测算法(canny边缘检测)
1.Canny边缘检测基本原理
(1)图象边缘检测必须满足两个条件：一能有效地抑制噪声；二必须尽量精确确定边缘的位置。
(2)根据对信噪比与定位乘积进行测度，得到最优化逼近算子。这就是Canny边缘检测算子。
(3)类似与Marr（LoG）边缘检测方法，也属于先平滑后求导数的方法。
2.Canny边缘检测算法：
step1:用高斯滤波器平滑图象；
step2:用一阶偏导的有限差分来计算梯度的幅值和方向；
step3:对梯度幅值进行非极大值抑制；
step4:用双阈值算法检测和连接边缘。
step1:高斯平滑函数
-The optimal type stair edge detection algorithm (canny edge detection)
1 Canny edge detection principle
(1) the image edge detection must meet two conditions: one can effectively reduce the noise, 2 must try to accurately determine edge position.
(2) according to the signal-to-noise ratio and the product localization estimate, get optimal approximation operator. This is the Canny edge detection operators.
(3) similar to Marr (LoG) edge detection method, also belongs to the first derivative method for smooth after.
2 Canny edge detection algorithm:
Step1: using gauss filter smooth image,
Step2: a partial derivatives with finite difference to calculate gradient value and direction,
Step3: a gradient of maximum inhibition,
Step4: double threshold algorithm of edge detection and connection.
Step1: gaussian smooth functions Platform: |
Size: 1271808 |
Author:lx |
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Description: 高斯平滑滤波实例，高斯滤波实质上是一种信号的滤波器，其用途是信号的平滑处理，我们知道数字图像用于后期应用，其噪声是最大的问题，，由于误差会累计传递等原因，很多图像处理教材会在很早的时候介绍Gauss滤波器，用于得到信噪比SNR较高的图像（反应真实信号）。
-Instance of the Gaussian smoothing filter, Gaussian filter is essentially a signal filter, its purpose is to smooth processing of the signal, we know that the digital image for the late application, the noise is the biggest problem, the error accumulated transfer reason, a lot of image processing textbooks will be introduced at an early Gauss filter for higher SNR of the image (real response signal). Platform: |
Size: 141312 |
Author:拥抱 |
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Search - gauss-smooth-filter