hadoofi's profile - activity

Have you tried to look at OpenCV histogram documentation?

Can you share the error message?

If you provide a sample of the images you have, it'd help me to answer your question.

Do you mean and are you sure that every white pixel represents the background? If the answer is yes, then you can convert every not white pixel to be a white pixel and every white pixel to be a black pixel!

I don't understand your question! Do you mean you want to fill the closed objects? If you paraphrase your question, that would be great.

Sometimes, you can iterate over every even or odd row/col. This is possible if the accuracy is not a very big deal!

For instance, I would re-write your code to be:

vector <double> temp_row;
double temp;
vector <double> oup;
for (int i = 0; i < rows; i++) { //you can say i +=2 and say the output, if you like it it makes the iteration much faster.
    for (int j = 0; j < cols; j++) {
        temp = signal[i][j];
        temp_row.push_back(temp);
    }
    branch_lp_dn(name, temp_row, oup);
    temp_row.clear();

    for (int j = 0; j < (int) oup.size(); j++) {
        lp_dn1[i][j] = oup[j];
    }
}

@thdrksdfthmn: I was confused too! Does raw mean the raw images? webcamera does support raw images. Or, does it mean the pixel value of the matrix? But I think @ademmler is asking how to get the frames from the webcamera (although they're not raw data).

Welcome to the open source community and OpenCV community in particular! To gain comprehensive details, I would suggest to go through OpenCV tutorials. They're easy and very informative. If you have a problem with a particular part of the tutorial, share your problem on OpenCV Answers. http://docs.opencv.org/doc/tutorials/introduction/table_of_content_introduction/table_of_content_introduction.html#table-of-content-introduction

If you share some images for your application would help us to figure out an optimal technique.

As @StevenPuttemans said, C++ would the best and it gives you the freedom to optimize your code. Python is also a very nice programming language for some applications. Sometimes you a very simple class, in which writing it in python could be more practical than C++. Honestly speaking, if you don't try most of them you won't get a clear picture you want.

That's really surprising! I think OpenCV SVM is based on LibSVM (http://www.csie.ntu.edu.tw/~cjlin/papers/libsvm.pdf), which--perhaps-- means OpenCV developers optimized the code better than the LibSVM's! I mean the source code differs, but the idea is the same.

@StevenPuttemans: You're right! I'm sorry for being 'not polite'! Thanks for pointing it out...

Add more information! Never expect help in you case!

@berak: I agree with you, I even couldn't continue reading the code! You're asking for help, you should make it easier for others to help you!

@wuling: You're right, but this case is not easy. Some of the dots you see in the image are not noisy ones, they are part of the letters! So, contours wouldn't help that much.

imagen1 is in BGR and imagen is in HSV. I think you need to have the same color format before applying the bitwise operation.

This case is not an easy one. It depends on the application and the effects of the noise. The easiest thing you can do to correct the image is to use the median filter After that you can also erode the image and then dilate it

If you need to go beyond this level, then you need to extract the features and recognize the outlier (and of course, make them off).

This is the result:

what's the error message you get?

OpenCV current official release is 2.4.9 If you need OpenCV C# wrapper, try Emgu.

Copy all the opencv dll files (look for them inside the OpenCV directory, which's the one you specified when installed the OpenCV library) to your Visual Studio Project DLLs directory. Finally, add the OpenCV dlls to your Visual Studio project dependencies (Solution Explorer, choose Property Pages from the View menu, select project dependencies from common properties).

You're right! I'm sorry I missed that point.

What you need to do is to AND the binary image by the original image.

cv::bitwise_and(src, dst, bk);

bk is the output image.

what's happening here???

The first loop iterates over the rows of the image. As you stated, you need to draw a line every 5th row/col. The first row/col starts at index of zero. Every loop increments by 5 (r+=5 is equivalent to r = r + 5).

For more details, see this tutorial: http://www.cprogramming.com/tutorial/lesson3.html and for nested loops: http://www.tutorialspoint.com/cplusplus/cpp_nested_loops.htm

I hope this helps you! I would help more if you ask specific questions.

make sure you understand what's happening in this code.

Try this code: Just make sure the image given to imread exists.

#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>

int main(int argc, char** argv)
{
    cv::Mat img = cv::imread("dm.jpg");
    cv::Point p1, p2;
    for(int r = 4; r < img.rows; r+=5){
        for(int c = 4; c < img.cols; c +=5){
            //vLines
            p1.x = c;
            p1.y = 0;
            p2.x = c;
            p2.y = img.rows;
            cv::line(img, p1, p2, cv::Scalar(255, 255, 255));
            //hLines
            p1.x = 0;
            p1.y = r;
            p2.x = img.cols;
            p2.y = r;
            cv::line(img, p1, p2, cv::Scalar(255, 255, 255));
        }
    }
    std::string win_name = "MyWindow";
    cv::namedWindow(win_name, CV_WINDOW_AUTOSIZE);
    cv::imshow(win_name, img);
    cv::waitKey();
}

Also, do what GilLevi said in the first comment: add cv::waitKey() before the end of the 'main' function.

One more thing, you already declared 'x' before the for loop so no need to declare another one in the for loop.

Please, next time post your code in text rather than a picture.

I don't know what are you trying to do with your code, but remove the 'return' from the for loops you have. In addition, the OpenCV function that draws a line has the following signature:

 void line(Mat& img, Point pt1, Point pt2, const Scalar& color, int thickness=1, int lineType=8, int shift=0)

For more details; Draw a line by using the OpenCV function

To draw a line you need the image to draw the lines, and two points (and some other parameters mentioned above)

If you state what you want to do clearly, I would help you more.