removeBackground.cpp

// #include "opencv2/imgproc/imgproc.hpp"
// #include "opencv2/highgui/highgui.hpp"

// using namespace cv;

// //== Parameters =======================================================================
// int BLUR = 21;
// int CANNY_THRESH_1 = 10;
// int CANNY_THRESH_2 = 200;
// int MASK_DILATE_ITER = 10;
// int MASK_ERODE_ITER = 10;
// cv::Vec3b MASK_COLOR = cv::Vec3b(0.0,0.0,1.0); //In BGR format


// //== Processing =======================================================================

// //-- Read image -----------------------------------------------------------------------
// Mat img = imread("C:/Temp/person.jpg");
// Mat colorspaceimg;
// cv::Vec3b gray = cvtColor(img, colorspaceimg, CV_BG2GRAY); //converts colorspace

// //-- Edge detection -------------------------------------------------------------------
// edges = Canny(gray, CANNY_THRESH_1, CANNY_THRESH_2);
// edges = cv2.dilate(edges, None);
// edges = cv2.erode(edges, None);

// //-- Find contours in edges, sort by area ---------------------------------------------
// contour_info = [];
// contours, _ = cv2.findContours(edges, cv2.RETR_LIST, cv2.CHAIN_APPROX_NONE);
// for c in contours:
//     contour_info.append((
//         c,
//         cv2.isContourConvex(c),
//         cv2.contourArea(c),
//     ));
// contour_info = sorted(contour_info, key=lambda c: c[2], reverse=True);
// max_contour = contour_info[0];

// //-- Create empty mask, draw filled polygon on it corresponding to largest contour ----
// // Mask is black, polygon is white
// mask = np.zeros(edges.shape);

// cv2.fillConvexPoly(mask, max_contour[0], (255));

// //-- Smooth mask, then blur it --------------------------------------------------------
// mask = cv2.dilate(mask, None, iterations=MASK_DILATE_ITER);
// mask = cv2.erode(mask, None, iterations=MASK_ERODE_ITER);
// mask = cv2.GaussianBlur(mask, (BLUR, BLUR), 0);
// mask_stack = np.dstack([mask]*3)    # Create 3-channel alpha mask;

// //-- Blend masked img into MASK_COLOR background --------------------------------------
// mask_stack  = mask_stack.astype('float32') / 255.0;         // Use float matrices, 
// img         = img.astype('float32') / 255.0;              //  for easy blending

// masked = (mask_stack * img) + ((1-mask_stack) * MASK_COLOR); // Blend
// masked = (masked * 255).astype('uint8');                     // Convert back to 8-bit 

// cv2.imshow('img', masked);                                // Display
// cv2.waitKey();

// //cv2.imwrite('C:/Temp/person-masked.jpg', masked)           # Save