OpenCV IplImage FlyCapture2 Image Conversion 两种图像类的相互转化
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
- 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 ...
- 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 ## ...
- 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 ...
- 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 ...
- 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 ...
- 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"?> ...
- 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 ...
- 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 ...
- 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
- 《ASP.NET MVC4 WEB编程》学习笔记------.net mvc实现原理ActionResult/View
ActionResult ActionResult是Action的返回结果.ActionResult 有多个派生类,每个子类功能均不同,并不是所有的子类都需要返回视图View,有些直接返回流,有些返回 ...
- css行内样式
<title>归园田居</title> </head> <body> <h2>归园田居</h2> <p>种豆南山下, ...
- windows下bat批处理实现守护进程
本文转自网络,由于找不到原作者,因而无法知道出处.如果有幸让原作者看到,请联系我加上.先转载至此. 最近几天加班加疯掉了,天天晚上没法睡.开发部的一个核心程序总是会自己宕机,然后需要手工去起,而这个服 ...
- (转)SQL server 容易让人误解的问题之 聚集表的物理顺序问题
对于MS SQL server 数据库,有几个容易让人产生误解的问题,对于这几个问题,即使很多 SQL server DBA 都有错误认识或者认识不充分,所以我想撰文几篇,把这些容易理解错误的问题前前 ...
- 11.python之线程,协程,进程,
一,进程与线程 1.什么是线程 线程是操作系统能够进行运算调度的最小单位.它被包含在进程之中,是进程中的实际运作单位.一条线程指的是进程中一个单一顺序的控制流,一个进程中可以并发多个线程,每条线程并行 ...
- 【读书笔记】读《JavaScript设计模式》之观察者模式
一.定义 在事件驱动的环境中,比如浏览器这种持续寻求用户关注的环境中,观察者模式(又名发布者-订阅者(publisher-subscripber)模式)是一种管理人与其任务之间的关系(确切地讲,是对象 ...
- C++多线程下的单例模式
一.懒汉模式:即第一次调用该类实例的时候才产生一个新的该类实例,并在以后仅返回此实例. 需要用锁,来保证其线程安全性:原因:多个线程可能进入判断是否已经存在实例的if语句,从而non thread s ...
- Linux网络编程入门 (转载)
(一)Linux网络编程--网络知识介绍 Linux网络编程--网络知识介绍客户端和服务端 网络程序和普通的程序有一个最大的区别是网络程序是由两个部分组成的--客户端和服务器端. 客户 ...
- poj 3253:Fence Repair(堆排序应用)
Fence Repair Time Limit: 2000MS Memory Limit: 65536K Total Submissions: 23913 Accepted: 7595 Des ...
- hdu 4280 最大流sap
模板套起来 1 5 7 //5个结点,7个边 3 3 //坐标 3 0 3 1 0 0 4 5 1 3 3 //相连的结点和流 2 3 4 2 4 3 1 5 6 4 5 3 1 4 4 3 4 2 ...