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Sobel filter output from opencv and Matlab different

I am converting some code from matlab to opencv. I tried to use Sobel in opencv but the output of opencv and matlab is completely different what could be the reason. How can I make the ouput of opencv same as matlab? My MATLAB code is :

 [sobel_edges,T,V,H] = edge(rgb2gray(im),'sobel',0.03);
sobel_angles = atan2(V,H);
sobel_weights = (V.*V+H.*H).^0.5;


where 0.03 is the threshold. In opencv when I use the prebuilt Sobel filter the output is completely different that of matlab even the engle and magnitude calculated in openc vis different. The opencv code is:

Mat gray_img=Mat::zeros(img.size(),CV_8U);
Mat sobel_edge=Mat::zeros(gray_img.size(),CV_64F);
cvtColor(img, gray_img, CV_BGR2GRAY);
Sobel(gray_img,sobel_edge,sobel_edge.type(),1,1,3);
sobel_edge.convertTo(sobel_edge,CV_8U);
sobel_edge.convertTo(sobel_edge,CV_64F);
sobel_edge=sobel_edge/255.0; //I divided this my 255 becuz in MATLAB the output is between 0 to 1
imshow("Sobel",sobel_edge);

Mat magnitude(gray_img.size(), CV_64F, cv::Scalar(0.0));
bool anglesInDegrees = true;


The sobel edge itself is different and the magnitude and angle too, I tried to convert manually too the sobel in opencv by looking at the edge function in matlab but still the output is different because it turns out the filter2D of opencv and imfilter in matlab returns different output. How can I obtain the same output of sobel in matlab and opencv???The code of manually converting sobel of matlab to opencv is:

Mat gray_img=Mat::zeros(img.size(),CV_32FC1);
cvtColor(img, gray_img, CV_RGB2GRAY);
double minVal,maxVal;
cv::Mat gray = cv::Mat(gray_img.size(),CV_32FC1);
gray_img.convertTo(gray_img,CV_32FC1);
gray=gray_img/255.0;
cout<<gray<<endl<<"End";
double data[]={1,2,1,0,0,0,-1,2,-1};
Mat op=Mat(3,3,CV_64F,data).clone();
op=op/8;
int scale=4;
int offset[]={0,0,0,0};
double sobel_thresh=0.03;
Mat bx,by,bx_mul,by_mul,b;
Point anchor(0,0);
float delta = 0.0;
cv::filter2D(gray, bx, CV_32FC1, x_mask, anchor, delta, BORDER_REPLICATE);
bx=abs(bx);
imshow("f1",bx);

cv::filter2D(gray, by, CV_32FC1, y_mask, anchor, delta, BORDER_REPLICATE);
by=abs(by);
imshow("by",by);

pow(bx,2,bx_mul);
imshow("f2",bx_mul);
pow(by,2,by_mul);
b= bx_mul+by_mul;
imshow("f3",b);

double cut_off;
cut_off=pow(sobel_thresh,2);
Mat sobel_edge(gray.size(),CV_32FC1);
for(int i=0;i<b.rows;i++)
{
for(int j=0;j<b.cols;j++)
{
if((b.at<float>(i,j))>cut_off)
{
sobel_edge.at<float>(i,j)=1;
}
else
{
sobel_edge.at<float>(i,j)=0;
}
}
}
imshow("Sobel_edge",sobel_edge);

 2 retagged sturkmen 6772 ●3 ●48 ●79 https://github.com/stu...

Sobel filter output from opencv and Matlab different

I am converting some code from matlab to opencv. I tried to use Sobel in opencv but the output of opencv and matlab is completely different what could be the reason. How can I make the ouput of opencv same as matlab? My MATLAB code is :

 [sobel_edges,T,V,H] = edge(rgb2gray(im),'sobel',0.03);
sobel_angles = atan2(V,H);
sobel_weights = (V.*V+H.*H).^0.5;


where 0.03 is the threshold. In opencv when I use the prebuilt Sobel filter the output is completely different that of matlab even the engle and magnitude calculated in openc vis different. The opencv code is:

Mat gray_img=Mat::zeros(img.size(),CV_8U);
Mat sobel_edge=Mat::zeros(gray_img.size(),CV_64F);
cvtColor(img, gray_img, CV_BGR2GRAY);
Sobel(gray_img,sobel_edge,sobel_edge.type(),1,1,3);
sobel_edge.convertTo(sobel_edge,CV_8U);
sobel_edge.convertTo(sobel_edge,CV_64F);
sobel_edge=sobel_edge/255.0; //I divided this my 255 becuz in MATLAB the output is between 0 to 1
imshow("Sobel",sobel_edge);

Mat magnitude(gray_img.size(), CV_64F, cv::Scalar(0.0));
bool anglesInDegrees = true;


The sobel edge itself is different and the magnitude and angle too, I tried to convert manually too the sobel in opencv by looking at the edge function in matlab but still the output is different because it turns out the filter2D of opencv and imfilter in matlab returns different output. How can I obtain the same output of sobel in matlab and opencv???The code of manually converting sobel of matlab to opencv is:

Mat gray_img=Mat::zeros(img.size(),CV_32FC1);
cvtColor(img, gray_img, CV_RGB2GRAY);
double minVal,maxVal;
cv::Mat gray = cv::Mat(gray_img.size(),CV_32FC1);
gray_img.convertTo(gray_img,CV_32FC1);
gray=gray_img/255.0;
cout<<gray<<endl<<"End";
double data[]={1,2,1,0,0,0,-1,2,-1};
Mat op=Mat(3,3,CV_64F,data).clone();
op=op/8;
int scale=4;
int offset[]={0,0,0,0};
double sobel_thresh=0.03;
Mat bx,by,bx_mul,by_mul,b;
Point anchor(0,0);
float delta = 0.0;
cv::filter2D(gray, bx, CV_32FC1, x_mask, anchor, delta, BORDER_REPLICATE);
bx=abs(bx);
imshow("f1",bx);

cv::filter2D(gray, by, CV_32FC1, y_mask, anchor, delta, BORDER_REPLICATE);
by=abs(by);
imshow("by",by);

pow(bx,2,bx_mul);
imshow("f2",bx_mul);
pow(by,2,by_mul);
b= bx_mul+by_mul;
imshow("f3",b);

double cut_off;
cut_off=pow(sobel_thresh,2);
Mat sobel_edge(gray.size(),CV_32FC1);
for(int i=0;i<b.rows;i++)
{
for(int j=0;j<b.cols;j++)
{
if((b.at<float>(i,j))>cut_off)
{
sobel_edge.at<float>(i,j)=1;
}
else
{
sobel_edge.at<float>(i,j)=0;
}
}
}
imshow("Sobel_edge",sobel_edge);