opencv添加汉字

起因

opencv的mat图片上 如果添加非中午字符 或者英文的话 使用opencv自带的putText就可以满足需求

但是添加汉字的话 putText就会出现问题

可以使用如下函数 在mat上添加汉字

函数

void putTextZH(Mat &dst, const char *str, Point org, Scalar color, int fontsize,
const char *fn, bool italic, bool underline) {
CV_Assert(dst.data != 0 && (dst.channels() == 1 || dst.channels() == 3));

int x, y, r, b;
//坐标点大于图像宽和高直接返回
if (org.x > dst.cols || org.y > dst.rows)
return;
x = org.x < 0 ? -org.x : 0;
y = org.y < 0 ? -org.y : 0;

LOGFONTA lf;
lf.lfHeight = -fontsize; //字体高度
lf.lfWidth = 0; //平均宽度
lf.lfEscapement = 0; //字符排列角度
lf.lfOrientation = 0; //字符本身旋转的角度
lf.lfWeight = 2; //设置字体线条的宽度
lf.lfItalic = italic; //斜体
lf.lfUnderline = underline; //下划线
lf.lfStrikeOut = 0; //是否字符中央加横线
lf.lfCharSet = DEFAULT_CHARSET; //字符集
lf.lfOutPrecision = 0; //字体的精确度
lf.lfQuality = PROOF_QUALITY; //字体质量
lf.lfPitchAndFamily = 0; //选择字体的间距和字体家族
strcpy_s(lf.lfFaceName, fn); //字体的名称

HFONT hf = CreateFontIndirectA(&lf);
HDC hdc = CreateCompatibleDC(0);
HFONT holdfont = (HFONT)SelectObject(hdc, hf);

int strBaseW = 0, strBaseH = 0;
int singleRow = 0;
char buf[1 << 12];
strcpy_s(buf, str);
char *bufT[1 << 12]; //这个用于分隔字符串后剩余的字符,可能会超出。

//处理多行
{
int nnh = 0;
int cw, ch;

const char *ln = strtok_s(buf, "\n", bufT);
while (ln != 0) {
GetStringSize(hdc, ln, &cw, &ch);
strBaseW = max(strBaseW, cw);
strBaseH = max(strBaseH, ch);

ln = strtok_s(0, "\n", bufT);
nnh++;
}
singleRow = strBaseH;
strBaseH *= nnh;
}

if (org.x + strBaseW < 0 || org.y + strBaseH < 0) {
SelectObject(hdc, holdfont);
DeleteObject(hf);
DeleteObject(hdc);
return;
}

r = org.x + strBaseW > dst.cols ? dst.cols - org.x - 1 : strBaseW - 1;
b = org.y + strBaseH > dst.rows ? dst.rows - org.y - 1 : strBaseH - 1;
org.x = org.x < 0 ? 0 : org.x;
org.y = org.y < 0 ? 0 : org.y;

BITMAPINFO bmp = {0};
BITMAPINFOHEADER &bih = bmp.bmiHeader;
int strDrawLineStep = strBaseW * 3 % 4 == 0
? strBaseW * 3
: (strBaseW * 3 + 4 - ((strBaseW * 3) % 4));

bih.biSize = sizeof(BITMAPINFOHEADER);
bih.biWidth = strBaseW;
bih.biHeight = strBaseH;
bih.biPlanes = 1;
bih.biBitCount = 24;
bih.biCompression = BI_RGB;
bih.biSizeImage = strBaseH * strDrawLineStep;
bih.biClrUsed = 0;
bih.biClrImportant = 0;

void *pDibData = 0;
HBITMAP hBmp = CreateDIBSection(hdc, &bmp, DIB_RGB_COLORS, &pDibData, 0, 0);

CV_Assert(pDibData != 0);
HBITMAP hOldBmp = (HBITMAP)SelectObject(hdc, hBmp);

// color.val[2], color.val[1], color.val[0]
SetTextColor(hdc, RGB(255, 255, 255));
SetBkColor(hdc, 0);
// SetStretchBltMode(hDC, COLORONCOLOR);

strcpy_s(buf, str);
const char *ln = strtok_s(buf, "\n", bufT);
int outTextY = 0;
while (ln != 0) {
TextOutA(hdc, 0, outTextY, ln, strlen(ln));
outTextY += singleRow;
ln = strtok_s(0, "\n", bufT);
}
uchar *dstData = (uchar *)dst.data;
int dstStep = dst.step / sizeof(dstData[0]);
unsigned char *pImg =
(unsigned char *)dst.data + org.x * dst.channels() + org.y * dstStep;
unsigned char *pStr = (unsigned char *)pDibData + x * 3;
for (int tty = y; tty <= b; ++tty) {
unsigned char *subImg = pImg + (tty - y) * dstStep;
unsigned char *subStr = pStr + (strBaseH - tty - 1) * strDrawLineStep;
for (int ttx = x; ttx <= r; ++ttx) {
for (int n = 0; n < dst.channels(); ++n) {
double vtxt = subStr[n] / 255.0;
int cvv = vtxt * color.val[n] + (1 - vtxt) * subImg[n];
subImg[n] = cvv > 255 ? 255 : (cvv < 0 ? 0 : cvv);
}

subStr += 3;
subImg += dst.channels();
}
}

SelectObject(hdc, hOldBmp);
SelectObject(hdc, holdfont);
DeleteObject(hf);
DeleteObject(hBmp);
DeleteDC(hdc);
}

调用

Mat imText;
if (m_colorMap) {
imText = Mat(text_size, CV_8UC3, Scalar(255, 255, 255));
} else if (m_colorMap == 0) {
imText = Mat(text_size, CV_8UC1, Scalar(255));
}

origin.x = 0;
origin.y = text_size.height - 6;

char *p = (char *)text.data();
putTextZH(imText, p, Point(origin.x + 20, 4), Scalar(120, 120, 120), 22,
"微软雅黑", 0, 0);

opencv添加汉字
https://qianxunslimg.github.io/2021/09/26/opencv-tian-jia-han-zi/
作者
qianxunslimg
发布于
2021年9月26日
许可协议