Description: 能实现彩色图RGB分量的数字显示，并能将彩色图转换为灰度图。-achieve color RGB component to the figures, and can change color to grayscale. Platform: |
Size: 75776 |
Author:阿崔 |
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Description: 边缘检测是数字图象处理、图象分析和识别领域中的重要课题。近年来，由于彩色图象的广泛应用，使彩色数字图象处理技术日益收到关注，彩色图象边缘检测是在众多的彩色图象处理中极为重要的方法，这是因为图象分割、识别等大量的高层次彩色图象处理均建立在低层次边缘检测的基础上。本实验是将彩色RGB图象首先转换为灰度图象，然后利用经典的边缘检测算Canny算子来实现边缘检测，然后再统计出边界方向的直方图。-Edge detection is a digital image processing, image analysis and identification of important issues in the field. In recent years, due to the extensive application of color images, so color digital image processing technology increasingly received attention, color image edge detection in color image processing a large number of extremely important ways, this is because the image segmentation, identification such a large number of high-level color image processing are built on low-level edge detection based on. This experiment is the first color RGB image is converted to grayscale images, and then use the classical Canny edge detector operator to realize edge detection, and then the statistics of the histogram of the direction of the border. Platform: |
Size: 8410112 |
Author:周倩 |
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Description: 该代码主要是基于retinex方法的C++代码增强类，可对RGB或是灰度进行增强，已经封装在类中，可直接调用即可-The code is based mainly on the Retinex method C++ Code enhanced category may be RGB or grayscale enhancement has been encapsulated in the class, you can directly call Platform: |
Size: 7168 |
Author:smilemore830 |
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Description: 中文注释，读写BMP图片文件的程序
包括打开、关闭文件、读写BMP数据矩阵和RGB、灰度转换，适用于数字图像处理领域的研究人员和入门人员-Chinese notes, read and write BMP picture files, including open, close the file, reading and writing BMP data matrix and the RGB, grayscale conversion, applicable to digital image processing research in the field of personnel and entry personnel Platform: |
Size: 9216 |
Author:李磊 |
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Description: 将RGB图像转换为灰度图像，本程序详细说明了转换原理和过程，还有腐蚀膨胀详细原理和程序-RGB images will be converted to grayscale images, the procedure described in detail the principles and the process of conversion, as well as the expansion of corrosion principles and procedures in detail Platform: |
Size: 1024 |
Author:zhangzhehui |
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Description: 一个把RGB转换成灰度图的例子，中间还有各种典型的图像处理-Converted into a RGB to grayscale example, the middle there are a variety of typical image processing Platform: |
Size: 722944 |
Author:lemon |
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Description: 属于图像预处理部分，转化后的灰度图仍是RGB图-Image Pre-processing is part of the transformation is still grayscale RGB Chart Platform: |
Size: 74752 |
Author:李建伟 |
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Description: 实现24位RGB彩色图像，先转化为灰度图像，而后用大津法实现二值化，并显示阀值。-To achieve 24-bit RGB color images, the first converted to grayscale images, then using Otsu binarization method to achieve and display threshold. Platform: |
Size: 3072 |
Author:budongwei |
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Description: opencv彩色RGB图到灰度图的转化，分别在独立窗口显示-opencv color RGB to grayscale conversion plans were displayed in a separate window Platform: |
Size: 1024 |
Author:风神 |
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Description: 基于奇异值分解的图像压缩。分别给出了灰度及RGB真彩图的压缩代码。
-Based on singular value decomposition of the image compression. Are given respectively grayscale and RGB true color pictures of the compression code. Platform: |
Size: 1024 |
Author:秦关 |
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Description: 支票印鉴图的R、G、B三个分量的显示图像并将RGB图转换为灰度图像-Check seal map R, G, B three components of the display image was converted to grayscale and RGB images Platform: |
Size: 1479680 |
Author: |
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Description: OpenCV基础cpp.包括RGB转成灰度图像，载入图像平滑处理，ROI的应用这三个文件。利于初学者学习。-The OpenCV basis cpp. RGB to grayscale image, load the image smoothing, ROI application of these three documents. Will help beginners to learn. Platform: |
Size: 2048 |
Author:deb |
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Description: 用于实现将一张RGB空间的图像转化成为灰度图-Used to implement an RGB space image is transformed into a grayscale Platform: |
Size: 1443840 |
Author:dxd |
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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.
Platform: |
Size: 1024 |
Author:clark |
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Search - rgb to grayscale