OpenCv+wxwidgets尝试

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wxwidgets对图片的处理是按24bit来的（直接打开8bit位图不算），我需要从串口读取的数据显示图片，而受到的数据是8bit的灰度图，目前发现想把数据转成wxbitmap或wximage都要给他的每个RGB通道拷贝一份灰度数据，三个通道的合起来才是灰度图，而我找到的wxbitmap的一个构造函数确实可以从char构造bitmap，但它的位深度默认为1，即单色图，改变深度为8不能显示了直接。。。之前显示出来图片好高兴的说。。。拷贝三遍感觉好傻，我就去找别的解决办法了，我看Opencv不错，网上的例子也比较多，不像wxwidgets例子少。

基本思路是使用Mat从指向char数据区的指针创建一个Mat实例，再从Mat实现到wxbitmap转换（实际还是拷贝三遍，但这个有相应函数，比较方便），先找从char*构建Mat的方法

备选1：

cv::Mat::Mat(int rows, int cols, int type, void * data, size_t step = AUTO_STEP )只初始化矩阵头，不进行实际的数据拷贝

备选2：

Mat cv::imdecode(InputArray buf, int flags ) 从存储缓冲区读一副图像。

网上推荐的用法：

Mat im=imdecode(Mat(buff),CV_LOAD_IMAGE_COLOR);

buff的定义：char buff[BUFF_SIZE]={0};

应该是直接用char*构造了Mat。。

先尝试第一种：

使用线程：

MyThread::MyThread(aframeFrame*frame,char* rawdata,int col,int row)        :wxThread(){    data=rawdata;    width=col;    heigth=row;    gui=frame;}void *MyThread::Entry(){    //int linebyte=(width+3)/4*4;//存储图像的宽度要满足是4的倍数    Mat mat(width,heigth,CV_8UC1,data);    wxImage image;    Mat2wxImage(mat,image);    ToFrame(image);    //wxCommandEvent event(wxEVT_COMMAND_MENU_SELECTED,ID_THREAD_TEST);    //wxGetApp().AddPendingEvent(event);    return NULL;}Mat MyThread::convertType(const Mat& srcImg, int toType, double alpha, double beta){  Mat dstImg;  srcImg.convertTo(dstImg, toType, alpha, beta);  return dstImg;}void MyThread::Mat2wxImage(Mat &mat, wxImage  &image){    // data dimension    int w = mat.cols, h = mat.rows;//获取MAT宽度，高度    int size = w*h*3*sizeof(unsigned char);//为WxImage分配空间数，因为其为24bit，所以*3// allocate memory for internal wxImage dataunsigned char * wxData = (unsigned char*) malloc(size);//分配空间// the matrix stores BGR image for conversionMat cvRGBImg = Mat(h, w, CV_8UC3, wxData);//转换存储用MAT    switch (mat.channels())//根据MAT通道数进行转换    {    case 1: // 1-channel case: expand and copy灰度到RGB    {      // convert type if source is not an integer matrix      if (mat.depth() != CV_8U)//不是unsigned char先转化      {        cvtColor(convertType(mat, CV_8U, 255,0), cvRGBImg, CV_GRAY2RGB);//把图片从一个颜色空间转换为另一个      }      else      {        cvtColor(mat, cvRGBImg, CV_GRAY2RGB);      }    } break;    case 3: // 3-channel case: swap R&B channels    {      int mapping[] = {0,2,1,1,2,0}; // CV(BGR) to WX(RGB)      // bgra[0] -> bgr[2], bgra[1] -> bgr[1], bgra[2] -> bgr[0]，即转成RGB，舍弃alpha通道      mixChannels(&mat, 1, &cvRGBImg, 1, mapping, 3);//一个输入矩阵，一个输出矩阵，maping中三个索引对    } break;    default://通道数量不对    {      wxLogError(wxT("Cv2WxImage : input image (#channel=%d) should be either 1- or 3-channel"), mat.channels());    }  }  image.Destroy(); // free existing data if there's any  image = wxImage(w, h, wxData);}void MyThread::ToFrame(wxImage &image){    gui->Notify(image);}

转换的程序时从网上找来的，具体参考：

点击打开链接

测试成功，图像数据如下：

static char buff[]={//16*202,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,};

图像显示如下：

备选2未完待续。。。。

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