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Description: opencv库在TI DM6437上的移植,目前包括两个库cv.lib和cxcore.lib的工程-opencv library
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Author: 葛文煜 |
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Description: 一个自己编的小型图像综合处理，主要是3个函数cvCanny、cvSmooth、cvDilate和cvErode四个函数，基于MFC编写的。对初学者学习OpenCV更加方便。-A series of small images their comprehensive treatment, mainly three functions cvCanny, cvSmooth, cvDilate and cvErode four functions, based on MFC prepared. OpenCV easier for beginners to learn.
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Size: 6270976 |
Author: 黄知 |
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Description: opencv中载入一幅图像并进行平滑处理-opencv cvSmooth()
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Size: 1342464 |
Author: 蝶澈 |
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Description: opencv 三种滤波方法（中值、均值、高斯）-opencv cvsmooth
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Size: 1024 |
Author: 章豪 |
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Description: opencv，用不同的核进行图像的二维滤波，函数cvSmooth实现各种方法的图形平滑。-opencv，image smooth with different kernel
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Size: 1024 |
Author: jinyizhong |
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Description: 首先，请检查/样品在你的OpenCV的分布/ C/ squares.c的。这个例子提供了一个方形的检测，如何检测角落类似的功能，它应该是一个不错的开始。然后，一起来看看在OpenCV的功能，导向功能，如cvCornerHarris（）和cvGoodFeaturesToTrack（）。
上述方法可以返回许多角落类似的功能 - 最不会“真正的角落”你正在寻找。在我的应用程序，我只好检测，旋转或倾斜的广场（透视）。我的检测流水线包括：
从RGB转换为灰度级（cvCvtColor）
平滑（cvSmooth）
阈值（cvThreshold）
检测边缘（cvCanny）
查找轮廓（cvFindContours的）
线性特征的大致轮廓与（cvApproxPoly）
查找“矩形”，这是结构：已经拥有4个点的polygonalized轮廓，有足够的面积，相邻的边〜 90度，“对面的”顶点之间的距离足够大，等等。
第7步是必要的，因为稍微嘈杂的图像可以产生许多结构出现矩形后polygonalization。在我的应用程序中，我也有处理方状结构，内出现，或重叠所需的平方。我发现轮廓的区域属性和重心是有帮助的挑剔适当的矩形。-First, check out /samples/c/squares.c in your OpenCV distribution. This example provides a square detector, and it should be a pretty good start on how to detect corner-like features. Then, take a look at OpenCV s feature-oriented functions like cvCornerHarris() and cvGoodFeaturesToTrack().
The above methods can return many corner-like features- most will not be the "true corners" you are looking for. In my application, I had to detect squares that had been rotated or skewed (due to perspective). My detection pipeline consisted of:
Convert from RGB to grayscale (cvCvtColor)
Smooth (cvSmooth)
Threshold (cvThreshold)
Detect edges (cvCanny)
Find contours (cvFindContours)
Approximate contours with linear features (cvApproxPoly)
Find "rectangles" which were structures that: had polygonalized contours possessing 4 points, were of sufficient area, had adjacent edges were ~90 degrees, had distance between "opposite" vertices was of sufficient size, etc.
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Size: 1024 |
Author: clark |
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Description: 用不同的核进行图像的二维滤波
函数cvSmooth实现各种方法的图形平滑。
一般来说，图像平滑主要是为了消除噪声。图像的常见噪声主要有加性噪声、乘性噪声和量化噪声等。由于图像的能量主要集在低频部分，而噪声所在频段主要在高频段，因此通常都是采用低通滤波的方法消除噪声。
函数cvFilter2D对图像做卷积运算。
对图像进行线性滤波，支持替换方式操作。当核运算部份超出输入图像时，边界外面的像素值等于离它最近的图像像素值。
-Graph smoothing function of two-dimensional filtering of the image with different nuclear cvSmooth achieve a variety of methods. Generally, image smoothing is mainly in order to eliminate the noise. Common image noise additive noise, multiplicative noise and quantization noise. Since the image of energy is mainly concentrated in the low-frequency portion, while the frequency band where the noise in the high-frequency band, and therefore are usually using the method of the low-pass filtering to eliminate noise. Convolve the function cvFilter2D image. Linear image filtering, support the replacement operation. When the the nuclear operation part exceeds the input image, the pixel value outside the boundary is equal to the nearest image pixel value.
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Size: 4096 |
Author: 史润强 |
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Description: 使用opencv 对图像进行平滑和滤波处理，主要用到的函数为cvSmooth，可以选择高斯滤波，中值滤波，双向滤波，插值滤波等方法。-opencv smooth gaosi mid-value and other method
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Size: 24217600 |
Author: panda |
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