我在使用BitBlt()
尝试捕获位于屏幕确切中心的全宽和1像素高的图像时遇到问题。
HDC hdcTemp;
BYTE* bitPointer;
int x, y;
int red, green, blue, alpha;
HDC desktopWindow = GetDC(HWND_DESKTOP);
//GetWindowRect(hWND_Desktop, &rect);
int screenWidth = GetSystemMetrics(SM_CXSCREEN);
int screenHeight = GetSystemMetrics(SM_CYSCREEN);
int wPos = screenWidth / 2;
int hPos = screenHeight / 2;
int screenShotWidth = screenWidth;
int screenShotHeight = 1;
while (true)
{
hdcTemp = CreateCompatibleDC(desktopWindow);
BITMAPINFO bitmap;
bitmap.bmiHeader.biSize = sizeof(bitmap.bmiHeader);
bitmap.bmiHeader.biWidth = screenShotWidth;
bitmap.bmiHeader.biHeight = screenShotHeight;
bitmap.bmiHeader.biPlanes = 1;
bitmap.bmiHeader.biBitCount = 24;
bitmap.bmiHeader.biCompression = BI_RGB;
bitmap.bmiHeader.biSizeImage = screenShotWidth * 4 * screenShotHeight;
bitmap.bmiHeader.biClrUsed = 0;
bitmap.bmiHeader.biClrImportant = 0;
HBITMAP hBitmap2 = CreateDIBSection(hdcTemp, &bitmap, DIB_RGB_COLORS, (void**)(&bitPointer), NULL, NULL);
SelectObject(hdcTemp, hBitmap2);
BitBlt(hdcTemp, 0, 0, screenShotWidth, screenShotHeight, desktopWindow, 0, hPos-1 ,SRCCOPY);
for (int i = 0; i < (screenShotWidth * 4 * screenShotHeight); i += 4)
{
red = (int)bitPointer[i];
green = (int)bitPointer[i + 1];
blue = (int)bitPointer[i + 2];
x = i / (4 * screenShotHeight);
y = i / (4 * screenShotWidth);
std::cout << "r : " << red << " x: " << x << " y: " << y << "\n";
}
std::this_thread::sleep_for(std::chrono::milliseconds(2));
}
我知道在使用全屏caputre时,BitBlt()需要看起来像这样:
BitBlt(hdcTemp, 0, 0, screenWidth, screenHeight, desktopWindow, 0, 0 ,SRCCOPY);
我只是没有真正做出改变以使其仅捕获我想要捕获的部分,而该部分位于屏幕中间...
最佳答案
bitmap.bmiHeader.biSizeImage = screenShotWidth * 4 * screenShotHeight;
对于24位的位图大小,应按以下方式计算:
int size = ((screenShotWidth * 24 + 31) / 32) * 4 * screenShotHeight;
请注意,24位位图没有alpha通道,每个像素3个字节。将增量更改为以下值:
for(int i = 0; i < (screenShotWidth * 3 * screenShotHeight); i += 3)
{
red = (int)bitPointer[i];
green = (int)bitPointer[i + 1];
blue = (int)bitPointer[i + 2];
...
}
为了使事情变得简单,您还可以使用32位位图。
关于c - 使用位图(C)仅捕获屏幕的一部分,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/46120159/