如何为C函数构建mex-file matlab [英] How can I build mex-file matlab for C function
本文介绍了如何为C函数构建mex-file matlab的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
此函数的输入由matlab代码计算。如何使用matlab代码加入此函数
this function's input calculate by matlab code . how can I join this function with matlab code
void Foreground_SCGMM_movcam::graphcut_fg_decission(ImageRGB & in, ImageGray & out,
Mat_2D_float64 & Prob_fg, Mat_2D_float64 & Prob_bg, float64 lambda)
{
uint64 WIDTH = in.cols;
uint64 HEIGHT = in.rows;
Graph::node_id *pnodes = new Graph::node_id[WIDTH*HEIGHT];
Graph *g = new Graph();
uint64 x,y;
Graph::node_id var;
Graph::node_id qvar;
Graph::captype E0,E1;
uint64 iPixel = 0;
uint64 qPixel =0;
// cv::Point p,q;
array<int32,2> p,q;
uint64 k;
// uint8 * pR = in(0).data();
// uint8 * pG = in(1).data();
// uint8 * pB = in(2).data();
// uint8 * pR = (uint8*)in.data + in.channels()*in.cols*2;
// uint8 * pG = (uint8*)in.data + in.channels()*in.cols*1;
// uint8 * pB = (uint8*)in.data + in.channels()*in.cols*0;
uint8 pR;
uint8 pG;
uint8 pB;
float64 var_intensity=0;
float64 distance_pq=0;
float64 expon, V_pq;
uint8 qR, qG, qB;
for(y=0;y< HEIGHT;y++)
{
for(x=0;x<width;x++)>
{
// p = cv::Point (x,y);
p[0] = x;
p[1] = y;
pR=in.data[in.step*(y) + in.channels()* (x) + 2];
pG=in.data[in.step*(y) + in.channels()* (x) + 1];
pB=in.data[in.step*(y) + in.channels()* (x) + 0];
for (k=0; k<neighbor_num;>
{
q[0] = p[0] + NEIGHBORS[k][0];
q[1] = p[1] + NEIGHBORS[k][1];
if ((q[0] >= 0) && (q[1] >=0) && (q[0] < (int64)WIDTH)
&& (q[1] < (int64)HEIGHT) )
{
qR=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 2];
qG=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 1];
qB=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 0];
// qR=in(RED_CHANNEL)[q.x][q.y];
// qG=in(GREEN_CHANNEL,q);
// qB=in(BLUE_CHANNEL,q);
distance_pq=(pR-qR)*(pR-qR) + (pG-qG)*(pG-qG) + (pB-qB)*(pB-qB);
}
}
var_intensity += distance_pq/NEIGHBOR_NUM;
// pR++;
// pG++;
// pB++;
// cont++;
}
}
var_intensity= var_intensity/(HEIGHT*WIDTH);
printf("\n var_intensity:%E \n", var_intensity);
// pR = in(0).data();
// pG = in(1).data();
// pB = in(2).data();
// pR = (float64*)in.data + in.cols*0;
// pG = (float64*)in.data + in.cols*1;
// pB = (float64*)in.data + in.cols*2;
distance_pq=0;
//BUILD GRAPH NODE PER PIXEL
for(y=0;y< HEIGHT;y++)
for(x=0;x<width;x++)>
{
pnodes[iPixel]= g -> add_node();
iPixel++;
}
iPixel =0;
for(y=0;y<height;y++)>
{
float64* ptr_Prob_bg = (float64*)Prob_bg.data + Prob_bg.cols*uint32(y);
float64* ptr_Prob_fg = (float64*)Prob_fg.data + Prob_fg.cols*uint32(y);
for(x=0;x<width;x++)>
{
/*data term*/
// p = cv::Point (x,y);
p[0] = x;
p[1] = y;
pR=in.data[in.step*(y) + in.channels()* (x) + 2];
pG=in.data[in.step*(y) + in.channels()* (x) + 1];
pB=in.data[in.step*(y) + in.channels()* (x) + 0];
var = pnodes[iPixel];
// if(in(0)[x][y] == 0) // IF PIXEL IS BACKGROUND /// NO IF si probabilitats
if(pR == 0) // IF PIXEL IS BACKGROUND /// NO IF si probabilitats
{
E0=0;
E1=1;
}
else
{
E0=1;
E1=0;
}
// /*E0 = E0;*/ E0 = (-1)* log(Prob_bg[x][y]);// (1- Probabilitat_Foreground); //// logaritme foreground
// /*E1 = E1;*/ E1 = (-1)* log(Prob_fg[x][y]); // E1 = Probabilitat_Foreground; //// logaritme background
/*E0 = E0;*/ E0 = (-1)* log(ptr_Prob_bg[Prob_bg.channels()*x]);// (1- Probabilitat_Foreground); //// logaritme foreground
/*E1 = E1;*/ E1 = (-1)* log(ptr_Prob_fg[Prob_fg.channels()*x]); // E1 = Probabilitat_Foreground; //// logaritme background
g->add_tweights(var,E0,E1);
if(_lambda != 0.0){
// /*smoothness term*/
for (k=0; k<neighbor_num;> {
// q = p + NEIGHBORS[k];
q[0] = p[0]+ NEIGHBORS[k][0];
q[1] = p[1] + NEIGHBORS[k][1];
if ((q[0] >= 0) && (q[1] >=0) && (q[0] < (int64)WIDTH)
&& (q[1] < (int64)HEIGHT) )
{
qPixel = q[0] + (q[1]*WIDTH);
qvar = pnodes[qPixel];
// Calcular V(p,q)
qR=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 2];
qG=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 1];
qB=in.data[in.step*(q[1]) + in.channels()* (q[0]) + 0];
// qR=in(RED_CHANNEL)[q.x][q.y];
// qG=in(GREEN_CHANNEL,q);
// qB=in(BLUE_CHANNEL,q);
// distance_pq=(*pR-qR)*(*pR-qR) + (*pG-qG)*(*pG-qG) + (*pB-qB)*(*pB-qB);
distance_pq=(pR-qR)*(pR-qR) + (pG-qG)*(pG-qG) + (pB-qB)*(pB-qB);
expon = ((-1)* distance_pq)/(2*var_intensity);
V_pq= (1/(std::sqrt(distance_pq)))*exp(expon);
g->add_edge(var,qvar,_lambda* V_pq,_lambda* V_pq);
}
}
}
iPixel++;
pR++;
pG++;
pB++;
}
}
/*minimize energy*/
g->Graph::maxflow();
/*set voxel labels*/
//printf("labelling .....\n");
int64 label;
uint8 ucl;
iPixel = 0;
for(y=0;y<height;y++)>
{
for(x=0;x<width;x++)>
{
label= g->Graph::what_segment(pnodes[iPixel]);
if(label == 0){
ucl = 255;
}
else if(label == 1){
ucl = 0;
}
else
{
ucl=0;
}
// out(0).data()[iPixel] = ucl;
out.data[iPixel] = ucl;
iPixel++;
}
}
// cv::imshow( "Out mask", out );
// cv::waitKey(0);
delete g;
delete[](pnodes);
}
推荐答案
如果您将问题输入搜索引擎（如Bing），您将获得很多（> 170万次点击。
Bing的第一个是：
从C / C ++或Fortran源代码构建MEX函数......
这个MATLAB函数编译并链接一个或多个C ，C ++，...通过将值-Wall附加到现有编译器标志来构建yprime.c MEX文件。
。
If you type your question into a search engine (like Bing) you'll get lots (>1.7 million) of hits.
The first one in Bing is:
Build MEX-function from C/C++ or Fortran source code ...
This MATLAB function compiles and links one or more C, C++, ... Build the yprime.c MEX-file by appending the value -Wall to the existing compiler flag.
.
请参考文档齐全的Matlab-API：
http://www.mathworks.de/de/help/matlab/write-cc-mex-files.html [ ^ ]
Please refer to the very well documented Matlab-API:
http://www.mathworks.de/de/help/matlab/write-cc-mex-files.html[^]
这篇关于如何为C函数构建mex-file matlab的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
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