IplImage 与 QImage 相互转换
在使用Qt和OpenCV编程时,对于它们各自的图像类QImage和IplImage难以避免的需要互相之间的转换,下面我们就来看它们的相互转换。
1. QImage 转换为 IplImage
IplImage *QImageToIplImage(const QImage * qImage)
{
int width = qImage->width();
int height = qImage->height();
CvSize Size;
Size.height = height;
Size.width = width; IplImage *charIplImageBuffer = cvCreateImage(Size, IPL_DEPTH_8U, );
char *charTemp = (char *) charIplImageBuffer->imageData; for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
int index = y * width + x;
charTemp[index] = (char) qGray(qImage->pixel(x, y));
}
}
return charIplImageBuffer;
}
2. IplImage 转换为 QImage
QImage *IplImageToQImage(const IplImage * iplImage)
{
uchar *qImageBuffer = NULL;
int width = iplImage->width; // Note here that OpenCV image is stored so that each lined is
// 32-bits aligned thus * explaining the necessity to "skip"
// the few last bytes of each line of OpenCV image buffer.
int widthStep = iplImage->widthStep;
int height = iplImage->height; switch (iplImage->depth)
{
case IPL_DEPTH_8U:
if (iplImage->nChannels == )
{
// IplImage is stored with one byte grey pixel.
// We convert it to an 8 bit depth QImage.
qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uchar *iplImagePtr = (const uchar *)iplImage->imageData;
for (int y = ; y < height; y++)
{
// Copy line by line
memcpy(QImagePtr, iplImagePtr, width);
QImagePtr += width;
iplImagePtr += widthStep;
}
}
else if (iplImage->nChannels == )
{
// IplImage is stored with 3 byte color pixels (3 channels).
// We convert it to a 32 bit depth QImage.
qImageBuffer = (uchar *) malloc(width*height**sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uchar *iplImagePtr = (const uchar *) iplImage->imageData; for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
// We cannot help but copy manually.
QImagePtr[] = iplImagePtr[];
QImagePtr[] = iplImagePtr[];
QImagePtr[] = iplImagePtr[];
QImagePtr[] = ; QImagePtr += ;
iplImagePtr += ;
}
iplImagePtr += widthStep-*width;
}
}
else
{
qDebug("IplImageToQImage: image format is not supported:\
depth=8U and %d channels\n", iplImage->nChannels);
}
break; case IPL_DEPTH_16U:
if (iplImage->nChannels == )
{
// IplImage is stored with 2 bytes grey pixel.
// We convert it to an 8 bit depth QImage.
qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uint16_t *iplImagePtr = (const uint16_t *)iplImage->imageData; for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
// We take only the highest part of the 16 bit value.
// It is similar to dividing by 256.
*QImagePtr++ = ((*iplImagePtr++) >> );
}
iplImagePtr += widthStep/sizeof(uint16_t)-width;
}
}
else
{
qDebug("IplImageToQImage: image format is not supported:\
depth=16U and %d channels\n", iplImage->nChannels);
}
break; case IPL_DEPTH_32F:
if (iplImage->nChannels == )
{
// IplImage is stored with float (4 bytes) grey pixel.
// We convert it to an 8 bit depth QImage.
qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const float *iplImagePtr = (const float *) iplImage->imageData; for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
uchar p;
float pf = (*iplImagePtr++); if (pf < ) p = ;
else if (pf > ) p = ;
else p = (uchar) pf; *QImagePtr++ = p;
}
iplImagePtr += widthStep/sizeof(float)-width;
}
}
else
{
qDebug("IplImageToQImage: image format is not supported:\
depth=32F and %d channels\n", iplImage->nChannels);
}
break; case IPL_DEPTH_64F:
if (iplImage->nChannels == )
{
// OpenCV image is stored with double (8 bytes) grey pixel.
// We convert it to an 8 bit depth QImage.
qImageBuffer = (uchar *) malloc(width*height*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const double *iplImagePtr = (const double *) iplImage->imageData; for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
uchar p;
double pf = * ((*iplImagePtr++) - mini) / (maxi - mini); if (pf < ) p = ;
else if (pf > ) p = ;
else p = (uchar) pf; *QImagePtr++ = p;
}
iplImagePtr += widthStep/sizeof(double)-width;
}
}
else
{
qDebug("IplImageToQImage: image format is not supported:\
depth=64F and %d channels\n", iplImage->nChannels);
}
break; default:
qDebug("IplImageToQImage: image format is not supported: depth=%d\
and %d channels\n", iplImage->depth, iplImage->nChannels);
} QImage *qImage;
if (iplImage->nChannels == )
{
QVector<QRgb> colorTable;
for (int i = ; i < ; i++)
{
colorTable.push_back(qRgb(i, i, i));
}
qImage = new QImage(qImageBuffer, width, height, QImage::Format_Indexed8);
qImage->setColorTable(colorTable);
}
else
{
qImage = new QImage(qImageBuffer, width, height, QImage::Format_RGB32);
} return qImage;
}
精简版:
QImage *IplImageToQImage(IplImage *image){
QImage *result;
if (image){
uchar * qImageBuffer = NULL;
int width = image->width;
int widthStep = image->widthStep;
int height = image->height;
QImage::Format format = QImage::Format_Invalid;
if (IPL_DEPTH_8U == image->depth && == image->nChannels){
qImageBuffer = (uchar *) malloc(width * height * * sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uchar *iplImagePtr = (const uchar *) image->imageData;
format = QImage::Format_RGB32;
if (!qImageBuffer){
qDebug() << "Insufficient memory for image buffer!" << endl;
return result;
}
for (int y = ; y < height; y++)
{
for (int x = ; x < width; x++)
{
QImagePtr[] = iplImagePtr[];
QImagePtr[] = iplImagePtr[];
QImagePtr[] = iplImagePtr[];
QImagePtr[] = ;
QImagePtr += ;
iplImagePtr += ;
}
iplImagePtr += widthStep-*width;
}
} else {
qDebug("Image format is not supported: depth=%d and %d channels\n", image->depth, image->nChannels);
return result;
}
if (qImageBuffer){
QImage *result = new QImage(qImageBuffer, image->width, image->height, format);
}
} else {
qDebug() << "Image pointer is NULL" << endl;
}
return result;
}
IplImage 与 QImage 相互转换的更多相关文章
- Qt OpenCV::Mat与Qt::QImage相互转换
Mat转QImage QImage mat2qim(Mat & mat) { cvtColor(mat, mat, COLOR_BGR2RGB); QImage qim((const unsi ...
- qt中使用opencv处理图片 QImage 和 IplImage 相互之间转换问题
在用opencv处理图片显示在qt label上的时候遇到不是问题 1. qt上要用qimage形式才干显示 IplImage转成 Qimage 彩色图像转换 IplImage *fram; QIm ...
- 【转】OpenCV与CxImage转换(IplImage)、IplImage QImage Mat 格式互转
最近由于在项目中用到了Opencv库,但是为了更好的显示图像还是使用了Cximage库,它可以快捷地存取.显示.转换各种图像.Opencv库用于高级图像处理与识别.为了使Cximage图像与Openc ...
- 更快地从IplImage转换成QImage
转:http://blog.sina.com.cn/s/blog_5c70dfc80100qzif.html 在Qt平台上使用OpenCV肯定会遇到从IplImage到QImage的转换问题,找了很多 ...
- QImage和IplImage转换总结
在arm中做图像处理,因为不支持GTK,一般都会用到QT来实现显示功能,所以不可避免的要涉及到QImage和IplImage两种图像格式之间的转换,下面总结一下转换的方法. (下面格式转换的代码都是网 ...
- 关于QImage和IplImage之间转换的实现
在嵌入式系统中实现qt和opencv的处理,最基础的就是QImage和IplImage之间的转换.这样两者就可以进行一起使用图像数据,从而达到利用qt显示和利用opencv处理的功能. 下面我将贴出代 ...
- 知乎上有一个问题“在mfc框架中,有上面方法能直接将opencv2.0库中的Mat格式图片传递到Picture Control”中显示?
一直以来,我使用的方法都是shiqiyu在opencvchina上面提供的引入directshow,并且采用cvvimage和cameraDs的方法.这个方法虽然在xp/win7/win8下面都能够成 ...
- 简易视频播放器2 (基于Qt、opencv)
因项目需要,需要实现一个对以保存的监测视频快速查看功能. 查询网上一些资料,初步简易的实现了一下. 实际效果图: 该程序基于Qt5.4,opencv248,开发环境为win8.1 结构为: video ...
- openCV(二)---iOS中使用openCV的图片格式转换
可以实现将UIImage和IplImage类型实现相互转换 //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 *)C ...
随机推荐
- java调用matlab函数
如何将实验结果在matlab中可视化呢,下面使用java语言编程,调用matlab中的函数: 本人安装的是Matlab7.11.0 (R2010a)和 Eclipse 4.2 : 1)首先设置环境变量 ...
- Longest Substring with At Most K Distinct Characters
Given a string, find the longest substring that contains only two unique characters. For example, gi ...
- JavaScript toFixed()使用的注意事项
以下是w3school的定义: 定义和用法 toFixed() 方法可把 Number 四舍五入为指定小数位数的数字. 语法 NumberObject.toFixed(num) 参数 描述 num 必 ...
- 20. 最长公共子串(ToDo)[LCS]
[参考] http://zhedahht.blog.163.com/blog/static/254111742007376431815/
- cocos2d-x的Android工程开启c++0x特性
首先一定要确定你所安装NDK支持c++0x(我安装的android-ndk-r8) 文本打开 项目目录/proj.android/jni/Application.mk 在APP_CPPFLAGS那一行 ...
- javascript动态添加一组input
2013年12月18日 20:56:29 场景: 批量添加 友情链接 功能 每个友情链接记录有3个字段:名字(name),超链接(url),排序(order) 要求每次点击"添加" ...
- 利用 ffmpeg + ImageMagick + 批处理 生成高品质gif动画
这几天研究如何生成高品质 gif 动画,重新研究 ffmpeg, 目前有一些自动转换工具,效果不佳. Video_to_320x180.bat 把 out.avi 转换成320x180的 01.avi ...
- Maven无法引入自定义构件依赖的解决方案
一般情况下,使用如下命令即可将自定义构件安装到本地仓库,供其他项目使用. mvn clean install 但是也有例外,今天我就分享一下我遇到问题,供相同遭遇的同学参考下. 我使用了父POM统一管 ...
- LightOJ 1247 Matrix Game (尼姆博弈)
A - Matrix Game Time Limit:2000MS Memory Limit:32768KB 64bit IO Format:%lld & %llu Submi ...
- Windows下安装Cygwin及包管理器apt-cyg(转)
本文为转载文章: http://www.2cto.com/os/201212/176551.html Cygwin可以在Windows下使用unix环境Bash和各种功能强大的工具,对于Linux管理 ...