我想将 wxh 的 uint32_t 图像数据转换为 uint8_t 图像。我应该如何转换图像。我想将 leptonica 的 PIX 转换为 opencv Mat。
我想知道使用按位运算符的艰难方法。像素被打包为 AARRGGBB。
我也想转换
cv:Mat 8UC1 到 PIX。即8bit单通道图像到32bit图像。或者,如果您能想到任何其他方法来进行排序。
uint32_t * imData = yourImageDataPointer;
uchar * reinterpretedData = (uchar*)imData;
cv::Mat cvImage = cv::Mat(h,w, CV_8UC4);
cv::Mat bgr; // displayable image without alpha channel
cv::cvtColor(cvImage, bgr, CV_RGBA2BGR);
cv::imshow("img", bgr);
cv::waitKey (0);
如果不是您所期望的,请尝试此并发布结果图像
Here is the Answer to convert the cv::Mat to leptonicas 32bit PIX format:
PIX* toPIX(const cv::Mat& img)
{
if(img.empty())
throw std::invalid_argument("Image is empty");
//PIX has got 4 channels hence we need to add one
//more channel to this image
cv::Mat alphaImage;
if(img.type() == CV_8UC3) {
cv::cvtColor(img,alphaImage,cv::COLOR_BGR2RGBA);
} else if(img.type() == CV_8UC1) {
cv::Mat gray = img.clone();
std::vector<cv::Mat> channelsPlusAlpha;
//construct 4 channel by reapeating gray across 3 channels and filling alpha with constant value
channelsPlusAlpha.push_back(gray);//channels[2]);//R
channelsPlusAlpha.push_back(gray);//channels[1]);//G
channelsPlusAlpha.push_back(gray);//channels[0]);//B
channelsPlusAlpha.push_back(cv::Mat(img.size(),CV_8UC1,cv::Scalar::all(255)));//A
cv::merge(channelsPlusAlpha,alphaImage);
} else {
throw std::logic_error("Image type undefined");
}
//Prepare PIX
int w = alphaImage.cols;
int h = alphaImage.rows;
int bpl = alphaImage.step1();//bytes per line
int bpp = alphaImage.channels();//bytes per pixel
int top = 0; //x (0,0) or if we want to deal with sub image then those coordinates have to be fed
int left = 0;//y
uchar* image_data = alphaImage.data;
//Create PIX
PIX *pix = pixCreate(w,h,32);
uint32_t* data = pixGetData(pix);
int wpl = pixGetWpl(pix);//get the words per line
const uint8_t* imagedata = image_data + top * bpl + left * bpp;
for(int y=0; y < h; ++y) {
const uint8_t* linedata = imagedata; // linescan
uint32_t* line = data + y *wpl;
for(int x =0; x < w; ++x) {
line[x] = (linedata[0] << 24) |
(linedata[1] << 16) |
(linedata[2] << 8) |
linedata[3];
linedata += 4;
}
imagedata += bpl;
}
return pix;
}
如果您想使用您的数据获得 4 通道 RGBA 图像,您可以尝试将每个 uint32_t 转换为 4 个无符号字符数。有关如何执行此操作的讨论,请参阅将 int 转换为 4 字节 char 数组 (C) 。完成此操作后,您只需使用您获得的数据创建一个新cv::Mat
的类型。CV_8UC4