OpenCV的IplImag和 FlyCapture2 的 Image是两种常见的图片格式,在实际的应用中,我们通常要混合使用OpenCV和FlyCapture2这两个SDK,所以这两种图片格式之间的相互转换就是经常需要做的。

首先分别来看看两种图片类的定义:

IplImage:

typedef struct _IplImage
{
int nSize; /* sizeof(IplImage) */
int ID; /* version (=0)*/
int nChannels; /* Most of OpenCV functions support 1,2,3 or 4 channels */
int alphaChannel; /* Ignored by OpenCV */
int depth; /* Pixel depth in bits: IPL_DEPTH_8U, IPL_DEPTH_8S, IPL_DEPTH_16S,
IPL_DEPTH_32S, IPL_DEPTH_32F and IPL_DEPTH_64F are supported. */
char colorModel[]; /* Ignored by OpenCV */
char channelSeq[]; /* ditto */
int dataOrder; /* 0 - interleaved color channels, 1 - separate color channels.
cvCreateImage can only create interleaved images */
int origin; /* 0 - top-left origin,
1 - bottom-left origin (Windows bitmaps style). */
int align; /* Alignment of image rows (4 or 8).
OpenCV ignores it and uses widthStep instead. */
int width; /* Image width in pixels. */
int height; /* Image height in pixels. */
struct _IplROI *roi; /* Image ROI. If NULL, the whole image is selected. */
struct _IplImage *maskROI; /* Must be NULL. */
void *imageId; /* " " */
struct _IplTileInfo *tileInfo; /* " " */
int imageSize; /* Image data size in bytes
(==image->height*image->widthStep
in case of interleaved data)*/
char *imageData; /* Pointer to aligned image data. */
int widthStep; /* Size of aligned image row in bytes. */
int BorderMode[]; /* Ignored by OpenCV. */
int BorderConst[]; /* Ditto. */
char *imageDataOrigin; /* Pointer to very origin of image data
(not necessarily aligned) -
needed for correct deallocation */
}
IplImage;

Image:

        /**
* Construct an Image object with the specified arguments.
* Ownership of the image buffer is not transferred to the Image object.
* It is the user's responsibility to delete the buffer when it is
* no longer in use.
*
* @param rows Rows in the image.
* @param cols Columns in the image.
* @param stride Stride of the image buffer.
* @param pData Pointer to the image buffer.
* @param dataSize Size of the image buffer.
* @param format Pixel format.
* @param bayerFormat Format of the Bayer tiled raw image.
*/
Image(
unsigned int rows,
unsigned int cols,
unsigned int stride,
unsigned char* pData,
unsigned int dataSize,
PixelFormat format,
BayerTileFormat bayerFormat = NONE );

下面我们来进行相互转换:

1. FlyCapture2 Image to OpenCV IplImage

IplImage* ConvertImageToOpenCV(Image* pImage)
{
IplImage* cvImage = NULL;
bool bColor = true;
CvSize mySize;
mySize.height = pImage->GetRows();
mySize.width = pImage->GetCols();
bool bInitialized = false;
Image colorImage;
switch ( pImage->GetPixelFormat() )
{
case PIXEL_FORMAT_MONO8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_411YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_422YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_444YUV8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RGB8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_MONO16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_RGB16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_S_MONO16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
bColor = false;
break;
case PIXEL_FORMAT_S_RGB16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_16U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RAW8: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RAW16: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_MONO12: printf("Not supported by OpenCV");
bColor = false;
break;
case PIXEL_FORMAT_RAW12: printf("Not supported by OpenCV");
break;
case PIXEL_FORMAT_BGR: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_BGRU: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
case PIXEL_FORMAT_RGBU: cvImage = cvCreateImageHeader(mySize, , );
cvImage->depth = IPL_DEPTH_8U;
cvImage->nChannels = ;
break;
default: printf("Some error occured...\n");
return NULL;
} if(bColor) {
if(!bInitialized)
{
colorImage.SetData(new unsigned char[pImage->GetCols() * pImage->GetRows()*], pImage->GetCols() * pImage->GetRows()*);
bInitialized = true;
} pImage->Convert(PIXEL_FORMAT_BGR, &colorImage); //needs to be as BGR to be saved cvImage->width = colorImage.GetCols();
cvImage->height = colorImage.GetRows();
cvImage->widthStep = colorImage.GetStride(); cvImage->origin = ; //interleaved color channels cvImage->imageDataOrigin = (char*)colorImage.GetData(); //DataOrigin and Data same pointer, no ROI
cvImage->imageData = (char*)(colorImage.GetData());
cvImage->widthStep = colorImage.GetStride();
cvImage->nSize = sizeof (IplImage);
cvImage->imageSize = cvImage->height * cvImage->widthStep;
}
else
{
cvImage->imageDataOrigin = (char*)(pImage->GetData());
cvImage->imageData = (char*)(pImage->GetData());
cvImage->widthStep = pImage->GetStride();
cvImage->nSize = sizeof (IplImage);
cvImage->imageSize = cvImage->height * cvImage->widthStep; //at this point cvImage contains a valid IplImage
}
return cvImage;
}

2. OpenCV IplImage to FlyCapture2 Image

/**
* Convert OpenCV IplImage to FlyCapture2 Image type
*/
Image* ConvertIplImageToImage(IplImage* cvImage)
{
Image* pImage = new Image();
Error error;
BayerTileFormat btf = GBRG;
if (cvImage->depth == IPL_DEPTH_8U) {
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO8, btf);
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_RGB8, btf);
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_BGRU, btf);
} else if (cvImage->depth == IPL_DEPTH_16U) {
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_MONO16, btf);
if (cvImage->nChannels == ) error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, PIXEL_FORMAT_RGB16, btf);
} else error = pImage->SetDimensions(cvImage->height, cvImage->width, cvImage->widthStep, UNSPECIFIED_PIXEL_FORMAT, btf);
if (error != PGRERROR_OK)
{
error.PrintErrorTrace();
return NULL;
} error = pImage->SetData((const unsigned char*)cvImage->imageData, cvImage->imageSize);
if (error != PGRERROR_OK)
{
error.PrintErrorTrace();
return NULL;
}
return pImage;
}

OpenCV IplImage FlyCapture2 Image Conversion 两种图像类的相互转化的更多相关文章

  1. FlyCapture2 fc2Image OpenCV IplImage Conversion 两种图像格式之间的转换

    fc2Image是FlyCapture SDK的C语言库中的图片格式,由于在Windows上的MinGW无法编译FlyCapture2的C++库,只能使用C语言库,所以当我们在同时使用OpenCV的图 ...

  2. Convert between cv::Mat and QImage 两种图片类转换

    在使用Qt和OpenCV混合编程时,我们有时需要在两种图片类cv::Mat和QImage之间进行转换,下面的代码参考了网上这个帖子: //##### cv::Mat ---> QImage ## ...

  3. 体验SRCNN和FSRCNN两种图像超分网络应用

    摘要:图像超分即超分辨率,将图像从模糊的状态变清晰. 本文分享自华为云社区<图像超分实验:SRCNN/FSRCNN>,作者:zstar. 图像超分即超分辨率,将图像从模糊的状态变清晰.本文 ...

  4. 09 Python两种创建类的方式

    第一种比较普遍的方式: class Work(): def __init__(self,name): self.name = name w = Work('well woker') 这样就简单创建了一 ...

  5. OpenCV在Debug和Release两种模式下布恩那个同时运行的问题

    首先,可以肯定的说,两者是可以随时切换进行运行的,若不能运行,必定是配置出了问题 以Debugx64和Releasex64为例: 在Releasex64模式下,我配置好了各种路径: 于是乎,我切换到D ...

  6. Selector、shape详解,注意这两种图像资源都以XML方式存放在drawable不带分辨率的文件夹中

    Selector.shape详解(一) Selector的结构描述: <?xml version="1.0" encoding="utf-8"?> ...

  7. 基于OpenCV的火焰检测(一)——图像预处理

    博主最近在做一个基于OpenCV的火焰检测的项目,不仅可以检测图片中的火焰,还可以检测视频中的火焰,最后在视频检测的基础上推广到摄像头实时检测.在做这个项目的时候,博主参考了很多相关的文献,用了很多种 ...

  8. 两种简单实现菜单高亮显示的JS类(转载)

    两种简单实现菜单高亮显示的JS类   近期在写一个博客管理后台的前端,涉及在同一页面两种高亮显示当前菜单的需求.记得当年写静态页时,为了实现高亮都是在每个页面加不同的样式,呵.高亮显示我觉得对于web ...

  9. IO知识点整理(四种基类的使用)

    一:介绍 1.两种基类 字节流 InputStream,OutputStream 字符流 Reader,Writer 二:字符流的基本方法(文字的处理比较常见) 1.Writer的API 2.File ...

随机推荐

  1. abstract class和interface的区别

    1. 引言 2. 概念引入 ●什么是接口? 接口是包含一组虚方法的抽象类型,其中每一种方法都有其名称.参数和返回值.接口方法不能包含任何实现,CLR允许接口可以包含事件.属性.索引 器.静态方法.静态 ...

  2. Windbg程序调试--转载

    WinDbg是微软发布的一款相当优秀的源码级(source-level)调试工具,可以用于Kernel模式调试和用户模式调试,还可以调试Dump文件. WinDbg是微软很重要的诊断调试工具: 可以查 ...

  3. Windows下尝试PHP7提示丢失VCRUNTIME140.DLL的问题解决

    前天PHP7.0.0正式版发布了,有一些比较好的改进,官方也说速度比php5.6快了两倍,性能上有了很大提升,并且也发布了从php5.x向php7迁移的问题,所以今后php网站迁移后能够大幅度的提升网 ...

  4. [Android Pro] 超能RecyclerView组件使用

    RecyclerView最强大的功能在于秒变功能,只需要改动很少的代码就可以实现ListView,GridView及水平ListViw的切换功能 public class MainActivity e ...

  5. [Android Memory] android 警告:Exported activity does not require permission

    在一个应用程序中添加了多个antivity后,在manifest.xml文件中会除了主Activity外,其它的Activity属性中都会有个警告: Exported activity does no ...

  6. java 执行command

    StringBuffer buf = new StringBuffer(1000); try { Process pos = Runtime.getRuntime().exec("sh &q ...

  7. 为什么内联函数,构造函数,静态成员函数不能为virtual函数

    http://blog.csdn.net/freeboy1015/article/details/7635012 为什么内联函数,构造函数,静态成员函数不能为virtual函数? 1> 内联函数 ...

  8. ****CSS各种居中方法

    水平居中的text-align:center 和 margin:0 auto   这两种方法都是用来水平居中的,前者是针对父元素进行设置而后者则是对子元素.他们起作用的首要条件是子元素必须没有被flo ...

  9. poj 3517 约瑟夫环

    最简单的约瑟夫环,虽然感觉永远不会考约瑟夫环,但数学正好刷到这部分,跳过去的话很难过 直接粘别人分析了 约瑟夫问题: 用数学方法解的时候需要注意应当从0开始编号,因为取余会等到0解. 实质是一个递推, ...

  10. C#学习笔记(七)——定义类

    一.C#中类的定义 1.类的定义 class Myclass { } 默认情况下是类是内部的,即外部的项目是不可以访问这个类,相当于加internal来修饰.但实际上是不需要加入的. 如果要指定类是公 ...