我想在qt窗口中显示图像，所以我使用了Qlabel-＆gt; setpixmap
但是如何从IPLImage转换为QImage以在标签中显示它？
我找到了转换它的follwing函数，但我不知道如何在call语句中使用它
QImage *IplImageToQImage(const IplImage * iplImage, uchar **data, double mini, double maxi)
{
uchar *qImageBuffer = NULL;
int width = iplImage->width;
int widthStep = iplImage->widthStep;
int height = iplImage->height;
switch (iplImage->depth)
{
case IPL_DEPTH_8U:
if (iplImage->nChannels == 1)
{
// OpenCV image 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 = 0; y < height; y++)
{
// Copy line by line
memcpy(QImagePtr, iplImagePtr, width);
QImagePtr += width;
iplImagePtr += widthStep;
}
}
else if (iplImage->nChannels == 3)
{
/* OpenCV image is stored with 3 byte color pixels (3 channels).
We convert it to a 32 bit depth QImage.
*/
qImageBuffer = (uchar *) malloc(width*height*4*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uchar *iplImagePtr = (const uchar *) iplImage->imageData;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
// We cannot help but copy manually.
QImagePtr[0] = iplImagePtr[0];
QImagePtr[1] = iplImagePtr[1];
QImagePtr[2] = iplImagePtr[2];
QImagePtr[3] = 0;
QImagePtr += 4;
iplImagePtr += 3;
}
iplImagePtr += widthStep-3*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 == 1)
{
/* OpenCV image 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 *);
const unsigned int *iplImagePtr = (const unsigned int *)iplImage->imageData;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
// We take only the highest part of the 16 bit value. It is
//similar to dividing by 256.
*QImagePtr++ = ((*iplImagePtr++) >> 8);
}
iplImagePtr += widthStep/sizeof(unsigned int)-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 == 1)
{
/* OpenCV image 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 = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
uchar p;
float pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);
if (pf < 0) p = 0;
else if (pf > 255) p = 255;
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 == 1)
{
/* 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 = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
uchar p;
double pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);
if (pf < 0) p = 0;
else if (pf > 255) p = 255;
else p = (uchar) pf;
*QImagePtr++ = p;
}
}
}
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;
QVector<QRgb> vcolorTable;
if (iplImage->nChannels == 1)
{
// We should check who is going to destroy this allocation.
QRgb *colorTable = new QRgb[256];
for (int i = 0; i < 256; i++)
{
colorTable[i] = qRgb(i, i, i);
vcolorTable[i] = colorTable[i];
}
qImage = new QImage(qImageBuffer, width, height, QImage::Format_Indexed8);
qImage->setColorTable(vcolorTable);
}
else
{
qImage = new QImage(qImageBuffer, width, height, QImage::Format_RGB32);
}
*data = qImageBuffer;
return qImage;
}
参数是： const IplImage * iplImage，uchar ** data，double mini，double maxi
什么是数据，mini，max？如何从我的IPLImage中获取它以在call语句中使用它？
非常感谢：）
答案 0 :(得分：0)
代码未使用data，mini和maxi用于将某些图像格式使用的浮点值转换为0-255范围内的整数值
我尝试将NULL用于数据。 mini和maxi确实依赖于图像数据，我不知道合理的范围是什么。但是如果你的IplImage没有存储为浮点值，那么这些值应该没有任何区别。
答案 1 :(得分：0)
你可以简单地创建一个QImage，其中数据由其他东西（例如IPLImage）拥有，使用QImage（数据，widht，高度，格式），数据是IPLImage数据ptr，只要两个格式在QImage中相同和IPLImage（例如RGB888 = 8U_C3）
答案 2 :(得分：0)
我在代码中发现了一些错误....也许还有更多错误但是现在看起来对我来说很好。有时需要使用Format_Index8的QImage（取决于图像分辨率......）在右侧添加了2个字节（不知道为什么但看起来像是这样）。 这是新改编的代码
QImage *IplImageToQImage(const IplImage * iplImage, uchar **data, double mini, double maxi)
{
uchar *qImageBuffer = NULL;
int width = iplImage->width;
int widthStep = iplImage->widthStep;
int height = iplImage->height;
QImage *qImage;
switch (iplImage->depth)
{
case IPL_DEPTH_8U:
if (iplImage->nChannels == 1)
{
// OpenCV image is stored with one byte grey pixel. We convert it
// to an 8 bit depth QImage.
qImage = new QImage(width,height,QImage::Format_Indexed8);
uchar *QImagePtr = qImage->scanLine(0);
qImageBuffer = qImage->scanLine(0);
const uchar *iplImagePtr = (const uchar *) iplImage->imageData;
for (int y = 0; y < height; y++)
{
// Copy line by line
QImagePtr = qImage->scanLine(y);
memcpy(QImagePtr, iplImagePtr, width);
iplImagePtr += widthStep;
}
/*
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
// We take only the highest part of the 16 bit value. It is
//similar to dividing by 256.
//*QImagePtr++ = ((*iplImagePtr++) >> 8);
*QImagePtr = *iplImagePtr;
QImagePtr++;
iplImagePtr++;
}
iplImagePtr += widthStep/sizeof(uchar)-width;
}*/
}
else if (iplImage->nChannels == 3)
{
/* OpenCV image is stored with 3 byte color pixels (3 channels).
We convert it to a 32 bit depth QImage.
*/
qImageBuffer = (uchar *) malloc(width*height*4*sizeof(uchar));
uchar *QImagePtr = qImageBuffer;
const uchar *iplImagePtr = (const uchar *) iplImage->imageData;
for (int y = 0; y < height; y++)
{
for (int x = 0; x < width; x++)
{
// We cannot help but copy manually.
QImagePtr[0] = iplImagePtr[0];
QImagePtr[1] = iplImagePtr[1];
QImagePtr[2] = iplImagePtr[2];
QImagePtr[3] = 0;
QImagePtr += 4;
iplImagePtr += 3;
}
iplImagePtr += widthStep-3*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 == 1)
{
/* OpenCV image is stored with 2 bytes grey pixel. We convert it
to an 8 bit depth QImage.
*/
qImage = new QImage(width,height,QImage::Format_Indexed8);
uchar *QImagePtr = qImage->scanLine(0);
qImageBuffer = qImage->scanLine(0);
//const uint16_t *iplImagePtr = (const uint16_t *);
const unsigned short *iplImagePtr = (const unsigned short *)iplImage->imageData;
for (int y = 0; y < height; y++)
{
QImagePtr = qImage->scanLine(y);
for (int x = 0; x < width; x++)
{
// We take only the highest part of the 16 bit value. It is
//similar to dividing by 256.
//*QImagePtr++ = ((*iplImagePtr++) >> 8);
//change here 16 bit could be everything !! set max min to your desire
*QImagePtr = 255*(((*iplImagePtr) - mini) / (maxi - mini));
QImagePtr++;
iplImagePtr++;
}
iplImagePtr += widthStep/sizeof(unsigned short)-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 == 1)
{
/* OpenCV image is stored with float (4 bytes) grey pixel. We
convert it to an 8 bit depth QImage.
*/
qImage = new QImage(width,height,QImage::Format_Indexed8);
uchar *QImagePtr = qImage->scanLine(0);
qImageBuffer = qImage->scanLine(0);
const float *iplImagePtr = (const float *) iplImage->imageData;
for (int y = 0; y < height; y++)
{
QImagePtr = qImage->scanLine(y);
for (int x = 0; x < width; x++)
{
uchar p;
float pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);
if (pf < 0) p = 0;
else if (pf > 255) p = 255;
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 == 1)
{
/* OpenCV image is stored with double (8 bytes) grey pixel. We
convert it to an 8 bit depth QImage.
*/
qImage = new QImage(width,height,QImage::Format_Indexed8);
uchar *QImagePtr = qImage->scanLine(0);
qImageBuffer = qImage->scanLine(0);
const double *iplImagePtr = (const double *) iplImage->imageData;
for (int y = 0; y < height; y++)
{
QImagePtr = qImage->scanLine(y);
for (int x = 0; x < width; x++)
{
uchar p;
double pf = 255 * ((*iplImagePtr++) - mini) / (maxi - mini);
if (pf < 0) p = 0;
else if (pf > 255) p = 255;
else p = (uchar) pf;
*QImagePtr++ = p;
}
}
}
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);
}
QVector<QRgb> vcolorTable;
if (iplImage->nChannels == 1)
{
// We should check who is going to destroy this allocation.
vcolorTable.resize(256);
for (int i = 0; i < 256; i++)
{
vcolorTable[i] = qRgb(i, i, i);
}
//Qt vector is difficult to use... start with std to qvector
//here I allocate QImage using qt constructor (Forma_Indexed8 adds sometimes 2 bytes on the right side !!! o.O not specified nowhere !!!)
//qImage = new QImage(tmpImg->scanLine(0), width, height, QImage::Format_Indexed8);
qImage->setColorTable(vcolorTable);
}
else
{
qImage = new QImage(qImageBuffer, width, height, QImage::Format_RGB32);
}
*data = qImageBuffer;
return qImage;
}
我不知道3个频道是否也有同样的错误，但我希望不是