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  • IplImage

    2015-02-04 15:11:42
    IplImage struct IplImage IPL image header  int nSize sizeof(IplImage) int ID Version, always equals 0 int nChannels Number of channels. Most OpenCV functions support 1-4 channels. int a
    

    IplImage
    struct IplImage

    IPL image header

     int nSize sizeof(IplImage)

    int ID Version, always equals 0

    int nChannels Number of channels. Most OpenCV functions support 1-4 channels.

    int alphaChannel Ignored by OpenCV int depth Channel depth in bits + the optional sign bit ( IPL_DEPTH_SIGN ). The supported depths are: • IPL_DEPTH_8U - unsigned 8-bit integer. Equivalent to CV_8U in matrix types. • IPL_DEPTH_8S - signed 8-bit integer. Equivalent to CV_8S in matrix types. • IPL_DEPTH_16U - unsigned 16-bit integer. Equivalent to CV_16U in matrix types. • IPL_DEPTH_16S - signed 8-bit integer. Equivalent to CV_16S in matrix types. • IPL_DEPTH_32S - signed 32-bit integer. Equivalent to CV_32S in matrix types. • IPL_DEPTH_32F - single-precision floating-point number. Equivalent to CV_32F in matrix types. • IPL_DEPTH_64F - double-precision floating-point number. Equivalent to CV_64F in matrix types. char[] colorModel Ignored by OpenCV.

    char[] channelSeq Ignored by OpenCV

    int dataOrder 0 = IPL_DATA_ORDER_PIXEL - interleaved color channels, 1 - separate color channels. CreateImage() only creates images with interleaved channels. For example, the usual layout of a color image is: b00g00r00b10g10r10... int origin 0 - top-left origin, 1 - bottom-left origin (Windows bitmap style) int align Alignment of image rows (4 or 8). OpenCV ignores this and uses widthStep instead. int width Image width in pixels
    2.2. Basic C Structures and Operations 51
    The OpenCV Reference Manual, Release 2.3
    int height Image height in pixels

    IplROI* roi Region Of Interest (ROI). If not NULL, only this image region will be processed.

    IplImage* maskROI Must be NULL in OpenCV

    void* imageId Must be NULL in OpenCV

    void* tileInfo Must be NULL in OpenCV int imageSize Image data size in bytes.

    For interleaved data, this equals image->height·image->widthStep

    char* imageData A pointer to the aligned image data.

    Do not assign imageData directly. Use SetData().

    int widthStep The size of an aligned image row, in bytes.

     int[] BorderMode Border completion mode, ignored by OpenCV

    int[] BorderConst Constant border value, ignored by OpenCV

    char* imageDataOrigin A pointer to the origin of the image data (not necessarily aligned). This is used for image deallocation.

    The IplImage is taken from the Intel Image Processing Library,in which the format is native. OpenCV only supports a subset of possible IplImage formats, as outlined in the parameter list above. In addition to the above restrictions, OpenCV handles ROIs differently. OpenCV functions require that the image size or ROI size of all source and destination images match exactly. On the other hand, the Intel Image Processing Library processes the area of intersection between the source and destination images (or ROIs), allowing them to vary independently.

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  • Mat iplimage

    2019-11-25 09:27:35
    Mat转IplImage Mat Img=imread("1.jpg"); IplImage* pBinary = &IplImage(Img);//浅拷贝 IplImage *input = cvCloneImage(pBinary);//深拷贝只要再加一次复制数据 IplImage img = IplImage(mat); ...

    Mat转IplImage

    Mat Img=imread("1.jpg");

    IplImage* pBinary = &IplImage(Img);//浅拷贝

    IplImage *input = cvCloneImage(pBinary);//深拷贝只要再加一次复制数据

    IplImage img = IplImage(mat);

     

     

     

     

    回到顶部

    IplImage转Mat

    IplImage* src = cvLoadImage("1.jpg", 0);

    Mat img = cvarrToMat(src);//把二值化后的src转换为Mat类型

     

     
    • IplImage* image = cvLoadImage( "lena.jpg");

    • Mat mat=cvarrToMat(image);

      IplImage img = IplImage(mat);
    //IplImage—>Mat
    //EXAMPLE:
    //浅拷贝:
    IplImage* pBinary=cvLoadImage("c://temp.jpg",0);
    Mat Img;
    Img=cvarrToMat(pBinary);
    //深拷贝只需要再在Mat里创建一个新的Mat对象,然后进行数据的复制,再用上述的函数进行数据头的复制(浅拷贝):
    IplImage* pBinary=cvLoadImage("c://temp.jpg", 0);
    Mat ImgTemp;
    Img=cvarrToMat(pBinary);
    Mat Img = ImgTemp.clone();
     
     
    //Mat—>IplImage
    //EXAMPLE:
    //浅拷贝:
    Mat Img=imread("1.jpg");
    IplImage* pBinary = &IplImage(Img);
    //深拷贝只要再加一次复制数据:
    IplImage *input = cvCloneImage(pBinary);

     

     

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  • opencv中Mat、CvMat、IplImageIplImage*数据类型之间转换方法
  • Mat转IplImage Mat Img=imread("1.jpg"); IplImage* pBinary = &IplImage(Img);//浅拷贝 IplImage *input = cvCloneImage(pBinary);//深拷贝只要再加一次复制数据 IplImage转Mat IplImage* ...

    Mat转IplImage

    Mat Img=imread( "1.jpg");
    IplImage* pBinary = &IplImage(Img);//浅拷贝
    IplImage *input = cvCloneImage(pBinary);//深拷贝只要再加一次复制数据
     

    IplImage转Mat

    IplImage* src = cvLoadImage("1.jpg", 0);

    Mat img = cvarrToMat(src);//把二值化后的src转换为Mat类型

    转载于:https://www.cnblogs.com/volvane/p/10189869.html

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  • I'm trying to access Pixel by Pixel of an IplImage. Im using Java and Processing, and sometimes I need to access pixel by pixel. I've done this so far, but I don't know what's wrong:public IplImage PI...

    I'm trying to access Pixel by Pixel of an IplImage. Im using Java and Processing, and sometimes I need to access pixel by pixel. I've done this so far, but I don't know what's wrong:

    public IplImage PImageToIplImage(PImage imageSrc)

    {

    IplImage imageDst;

    if(imageSrc.format==RGB)

    {

    imageDst = IplImage.create(imageSrc.width, imageSrc.height, IPL_DEPTH_8U, 3);

    ByteBuffer imagePixels=imageDst.getByteBuffer();

    int locPImage, locIplImage, x, y;

    for(y=0; y

    for(x=0; x

    {

    locPImage = x + y * width;

    locIplImage=y*imageDst.widthStep()+3*x;

    imagePixels.put(locIplImage+2, (byte)(red(imageSrc.pixels[locPImage])));

    imagePixels.put(locIplImage+1, (byte)(green(imageSrc.pixels[locPImage])));

    imagePixels.put(locIplImage, (byte)(blue(imageSrc.pixels[locPImage])));

    }

    }

    }

    After Karlphilip sugestion, I came to this, still doens't work. When I try to show, it gives me a nullPointer exception:

    imageDst = IplImage.create(imageSrc.width, imageSrc.height, IPL_DEPTH_8U, 3);

    CvMat imagePixels = CvMat.createHeader(imageDst.height(), imageDst.width(), CV_32FC1);

    cvGetMat(imageDst, imagePixels, null, 0);

    int locPImage, x, y;

    for(y=0; y

    for(x=0; x

    {

    locPImage = x + y * width;

    CvScalar scalar = new CvScalar();

    scalar.setVal(0, red(imageSrc.pixels[locPImage]));

    scalar.setVal(1, green(imageSrc.pixels[locPImage]));

    scalar.setVal(2, blue(imageSrc.pixels[locPImage]));

    cvSet2D(imagePixels, y, x, scalar);

    }

    imageDst = new IplImage(imagePixels);

    解决方案

    The fastest way to iterate over each pixel in JavaCV is:

    ByteBuffer buffer = image.getByteBuffer();

    for(int y = 0; y < image.height(); y++) {

    for(int x = 0; x < image.width(); x++) {

    int index = y * image.widthStep() + x * image.nChannels();

    // Used to read the pixel value - the 0xFF is needed to cast from

    // an unsigned byte to an int.

    int value = buffer.get(index) & 0xFF;

    // Sets the pixel to a value (greyscale).

    buffer.put(index, value);

    // Sets the pixel to a value (RGB, stored in BGR order).

    buffer.put(index, blue);

    buffer.put(index + 1, green);

    buffer.put(index + 2, red);

    }

    }

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  • 熟悉IplImage指针

    2015-05-12 10:10:05
    刚刚接触opencv的同学,可以看看这个代码,让你尽快的熟悉IplImage,代码中使用了cvSetImageROI等函数。比较简单。
  • IplImage简介

    千次阅读 2016-10-20 16:20:57
    IplImage简介。IplImage是OpenCV中CxCore部分基础的数据结构,用来表示图像,其中Ipl是Intel Image Processing Library的简写。
  • IplImage结构

    2016-05-15 22:39:07
    由于OpenCV主要针对的是计算机视觉方面的处理,因此在函数库中,最重要的结构体是IplImage结构。IplImage结构来源于Intel的另外一个函数库Intel Image Processing Library (IPL),该函数库主要是针对图像处理。...
  • Mat与IplImage

    2020-04-08 21:35:07
    IplImage类型转 Mat IplImage* lpimg; Mat ImgTemp = cvarrToMat(lpimg,true); Mat类型转 IplImage Mat Img=imread("1.jpg"); IplImage* pBinary = &IplImage(Img); //深拷贝只要再加一次复制数据: ...
  • IplImage结构体

    千次阅读 2017-04-27 10:08:53
    一、IplImage的一些重要成员: 1、origin:图像原点的定义。=0,则图片的左上角是原点;=1,则左下角是原点。 IplImage* img=cvLoadImage("图片路径"); 
  • YUV格式转为IplImage

    2014-10-18 14:27:18
    YUV格式转为IplImage
  • IplImage与mat转换代码

    2018-12-19 16:07:56
    非常实用的可以在IplImage与mat之间转换的代码,经过用心改写,请大家多多参考
  • IplImage是OpenCV中C语言的图像类型; cv::Mat是OpenCV中C++语言的图像类型; 一、Mat—>IplImage Mat image; if(!image.data) { cout<<“Could not open or find the image”<<endl; return -1; } //...
  • OpenCV之IplImage详解

    万次阅读 2018-10-30 10:58:31
    IplImage是OpenCV中CxCore部分基础的数据结构,用来表示图像,其中Ipl是Intel Image Processing Library的简写。 OpenCV2.1版本之前使用IplImage*数据结构来表示图像,2.1之后的版本使用图像容器Mat来存储。...
  • Mat与IplImage的转换

    万次阅读 2019-01-12 18:11:15
    Opencv3.x中Mat与IplImage的转换 Mat转IPLImage IplImage img = IplImage(mat); IplImage转Mat Mat mat=cvarrToMat(img); opencv2.x中Mat与IplImage的转换 Mat转IPLImage IplImage img = IplImage(mat); IplImage转...
  • public static BufferedImage iplToBufImgData(IplImage ipl,BufferedImage image ) public static IplImage BufImgToIplData(IplImage ipl,BufferedImage bi)
  • IplImage*转Mat IplImage * ipl = ...; cv::Mat m = cv::cvarrToMat(ipl); // default additional arguments: don't copy data. Mat转IplImage * 方法一: Mat mat, mat1; // mat1是临时变量 IplImage * ...
  • Iplimage versus Mat

    2015-04-15 12:08:20
    我们可能经常面临这样的困惑,Iplimage和Mat这两种数据结构,我们应该用哪一种数据结构。 Iplimage一开始就存在opencv库之中,他来源于Intel的另外一个函数库Intel Image Processing Library(IPL),这是一种非常...
  • IplImage类型提取原始

    2016-10-17 19:51:45
    利用opencv进行IplImage类型提取原始
  • opencv中的IplImage

    2013-12-15 15:53:21
    由于OpenCV主要针对的是计算机视觉方面的处理,因此在函数库中,最重要的结构体是IplImage结构。IplImage结构来源于Intel的另外一个函数库Intel Image Processing Library (IPL),该函数库主要是针对图像处理。...
  • IplImage和Mat

    2021-05-29 17:51:57
    IplImage是opencv一种结构。不过从本质上讲,他是一个CvMat对象 在opencv3以后统统用cv::Mat
  • OpenCV IplImage结构体

    2016-03-19 14:03:21
    IplImage结构来源于Intel的另外一个函数库Intel Image Processing Library (IPL),该函数库主要是针对图像处理。IplImage结构体为:typedef struct _IplImage { int nSize; /* IplImage大小 */ int ID; /* 版本
  • IplImage详解

    千次阅读 2013-05-29 22:01:24
    IplImage详解IplImage这是OpenCV中提供的图像结构体。它的结构如下:typedef struct _IplImage { int nSize; /* IplImage大小 */ int ID; /* 版本 (=0)*/ int nChannels; /* 大多数OPE
  • Mat和IplImage转换

    2021-05-10 17:35:03
    IplImage* iplImage=cvLoadImage(“1.jpg”); Mat matImage; matImage=cvarrToMat(iplImage); Mat src= matImage.clone();//如果需要深拷贝 2、Mat转IplImage Mat matImage=imread(“i.jpg”); IplImag

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