基于反向投影的手部分割---增强版

实验代码

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

#include <iostream>

using namespace cv;
using namespace std;

/// Global Variables
Mat src, hsv, mask;

int low = 20, up = 20;
const char* window_image = "Source image";

/// Function Headers
void Hist_and_Backproj();
void pickPoint(int event, int x, int y, int, void*);

/**
* @function main
*/
int main(int, char** argv)
{
	/// Read the image
	src = imread("./palm.png");

	/// Transform it to HSV
	cvtColor(src, hsv, COLOR_BGR2HSV);

	/// Show the image
	namedWindow(window_image);
	imshow(window_image, src);

	/// Set Trackbars for floodfill thresholds
	createTrackbar("Low thresh", window_image, &low, 255, 0);
	createTrackbar("High thresh", window_image, &up, 255, 0);
	/// Set a Mouse Callback
	setMouseCallback(window_image, pickPoint, 0);

	waitKey();
	return 0;
}

/**
* @function pickPoint
*/
void pickPoint(int event, int x, int y, int, void*)
{
	if (event != EVENT_LBUTTONDOWN)
	{
		return;
	}

	// Fill and get the mask
	Point seed = Point(x, y);

	int newMaskVal = 255;
	Scalar newVal = Scalar(120, 120, 120);

	int connectivity = 8;
	int flags = connectivity + (newMaskVal << 8) + FLOODFILL_FIXED_RANGE + FLOODFILL_MASK_ONLY;

	Mat mask2 = Mat::zeros(src.rows + 2, src.cols + 2, CV_8U);
	floodFill(src, mask2, seed, newVal, 0, Scalar(low, low, low), Scalar(up, up, up), flags);
	mask = mask2(Range(1, mask2.rows - 1), Range(1, mask2.cols - 1));

	imshow("Mask", mask);

	Hist_and_Backproj();
}

/**
* @function Hist_and_Backproj
*/
void Hist_and_Backproj()
{
	Mat hist;
	int h_bins = 30; int s_bins = 32;
	int histSize[] = { h_bins, s_bins };

	float h_range[] = { 0, 180 };
	float s_range[] = { 0, 256 };
	const float* ranges[] = { h_range, s_range };

	int channels[] = { 0, 1 };

	/// Get the Histogram and normalize it
	calcHist(&hsv, 1, channels, mask, hist, 2, histSize, ranges, true, false);

	normalize(hist, hist, 0, 255, NORM_MINMAX, -1, Mat());

	/// Get Backprojection
	Mat backproj;
	calcBackProject(&hsv, 1, channels, hist, backproj, ranges, 1, true);

	/// Draw the backproj
	imshow("BackProj", backproj);
}

代码讲解

实验效果

代码下载

https://download.youkuaiyun.com/download/lykymy/11295417