目的

在本教程中，您将了解如何

使用 OpenCV cv::inRange 函数执行基本阈值操作。
根据 HSV 颜色空间中像素值的范围检测物体。

理论

在上一个教程中，我们学习了如何使用 cv::threshold 函数执行阈值操作。
在本教程中，我们学习了如何使用 cv::inRange 函数执行该操作。
概念保持不变，但现在我们添加了所需的像素值范围。

HSV 颜色空间

HSV（色相、饱和度、明度）颜色空间是一种用于表示颜色空间（类似于 RGB 颜色模型）的模型。由于色相通道对颜色类型进行建模，因此它在需要基于颜色对物体进行分割的图像处理任务中非常有用。饱和度的变化由不饱和表示灰色阴影再到完全饱和（无白色组件）。明度通道描述颜色的亮度或强度。下一张图片展示了 HSV 圆柱体。

SharkDderivative 作品：SharkD [知识共享署名-相同方式共享 3.0 或 GFDL]，来自维基共享资源

由于 RGB 颜色空间中的颜色是由三个通道编码的，因此很难基于颜色对图像中的物体进行分割。

SharkD [GFDL 或知识共享署名-相同方式共享 4.0]，来自维基共享资源

使用 cv::cvtColor 函数从一个颜色空间转换为另一个颜色空间的公式在颜色转换中进行了说明。

代码

教程代码如下所示。您还可以从此处下载该代码。

#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/videoio.hpp"
#include <iostream>
 
using namespace cv;
 
const int max_value_H = 360/2;
const int max_value = 255;
const String window_capture_name = "视频捕获";
const String window_detection_name = "对象检测";
int low_H = 0, low_S = 0, low_V = 0;
int high_H = max_value_H, high_S = max_value, high_V = max_value;
 
static void on_low_H_thresh_trackbar(int, void *)
{
low_H = min(high_H-1, low_H);
setTrackbarPos("低 H", window_detection_name, low_H);
}
 
static void on_high_H_thresh_trackbar(int, void *)
{
high_H = max(high_H, low_H+1);
setTrackbarPos("高 H", window_detection_name, high_H);
}
 
static void on_low_S_thresh_trackbar(int, void *)
{
low_S = min(high_S-1, low_S);
setTrackbarPos("低 S", window_detection_name, low_S);
}
 
static void on_high_S_thresh_trackbar(int, void *)
{
high_S = max(high_S, low_S+1);
setTrackbarPos("高 S", window_detection_name, high_S);
}
 
static void on_low_V_thresh_trackbar(int, void *)
{
low_V = min(high_V-1, low_V);
    setTrackbarPos("低 V", window_detection_name, low_V);
}
 
static void on_high_V_thresh_trackbar(int, void *)
{
high_V = max(high_V, low_V+1);
    setTrackbarPos("高 V", window_detection_name, high_V);
}
 
int main(int argc, char* argv[])
{
    VideoCapture cap(argc > 1 ? atoi(argv[1]) : 0);
 
    namedWindow(window_capture_name);
    namedWindow(window_detection_name);
 
    // 滑块设置 HSV 值的阈值
    createTrackbar("低 H", window_detection_name, &low_H, max_value_H, on_low_H_thresh_trackbar);
    createTrackbar("高 H", window_detection_name, &high_H, max_value_H, on_high_H_thresh_trackbar);
    createTrackbar("低 S", window_detection_name, &low_S, max_value, on_low_S_thresh_trackbar);
    createTrackbar("高 S", window_detection_name, &high_S, max_value, on_high_S_thresh_trackbar);
    createTrackbar("低 V", window_detection_name, &low_V, max_value, on_low_V_thresh_trackbar);
    createTrackbar("高 V", window_detection_name, &high_V, max_value, on_high_V_thresh_trackbar);
 
    Mat 帧，帧_HSV，帧_阈值；
    while（true）{
cap >> 帧；
        if（帧.empty()）
        {
            退出;
        }
 
        // 从 BGR 转换为 HSV 颜色空间
        cvtColor(帧，帧_HSV，COLOR_BGR2HSV);
        // 根据 HSV 范围值检测对象
        inRange(帧_HSV, Scalar（low_H，low_S，low_V），Scalar（high_H，high_S，high_V），帧_阈值）;
 
        // 显示帧
        imshow(window_capture_name，帧);
        imshow(window_detection_name，帧_阈值);
 
        char 键 = （char）waitKey（30）；
        if（键 == 'q' || 键 == 27）
        {
            退出;
        }
    }
    返回 0;
}

教程代码如下所示。你也可以从这里下载它

import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.awt.event.WindowAdapter;
import java.awt.event.WindowEvent;
import java.util.List;
 
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.SwingWorker;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
 
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.Scalar;
import org.opencv.highgui.HighGui;
import org.opencv.imgproc.Imgproc;
import org.opencv.videoio.VideoCapture;
 
public class ThresholdInRange {
    private static int MAX_VALUE = 255;
    private static int MAX_VALUE_H = 360/2;
    private static final String WINDOW_NAME = "Thresholding Operations using inRange demo";
    private static final String LOW_H_NAME = "Low H";
    private static final String LOW_S_NAME = "Low S";
    private static final String LOW_V_NAME = "Low V";
    private static final String HIGH_H_NAME = "High H";
    private static final String HIGH_S_NAME = "饱和度高";
    private static final String HIGH_V_NAME = "值高";
    private JSlider sliderLowH;
    private JSlider sliderHighH;
    private JSlider sliderLowS;
    private JSlider sliderHighS;
    private JSlider sliderLowV;
    private JSlider sliderHighV;
    private VideoCapture cap;
    private Mat matFrame = new Mat();
    private JFrame frame;
    private JLabel imgCaptureLabel;
    private JLabel imgDetectionLabel;
    private CaptureTask captureTask;
 
    public ThresholdInRange(String[] args) {
        int cameraDevice = 0;
        if (args.length > 0) {
cameraDevice = Integer.parseInt(args[0]);
        }
cap = new VideoCapture(cameraDevice);
        if (!cap.isOpened()) {
System.err.println("无法打开相机：" + cameraDevice);
System.exit(0);
        }
        if (!cap.read(matFrame)) {
System.err.println("无法读取摄像头流。");
System.exit(0);
        }
 
        // 创建并设置窗口。
frame = new JFrame(WINDOW_NAME);
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame.addWindowListener(new WindowAdapter() {
@Override
            public void windowClosing(WindowEvent windowEvent) {
captureTask.cancel(true);
            }
        });
        // 设置内容窗格。
Image img = HighGui.toBufferedImage(matFrame);
addComponentsToPane(frame.getContentPane(), img);
        // 使用内容窗格的默认 BorderLayout。无需
        // setLayout(new BorderLayout());
        // 显示窗口。
frame.pack();
frame.setVisible(true);
 
captureTask = new CaptureTask();
captureTask.execute();
    }
 
    private class CaptureTask extends SwingWorker<Void, Mat> {
@Override
        protected Void doInBackground() {
Mat matFrame = new Mat();
 
            while (!isCancelled()) {
                if (!cap.read(matFrame)) {
                    退出;
                }
publish(matFrame.clone());
            }
            return null;
        }
 
@Override
        protected void process(List<Mat> frames) {
Mat frame = frames.get(frames.size() - 1);
Mat frameHSV = new Mat();
Imgproc.cvtColor(frame, frameHSV, Imgproc.COLOR_BGR2HSV);
Mat thresh = new Mat();
Core.inRange(frameHSV，new Scalar(sliderLowH.getValue()，sliderLowS.getValue()，sliderLowV.getValue())，
                    new Scalar(sliderHighH.getValue()，sliderHighS.getValue()，sliderHighV.getValue())，thresh)；
update(frame，thresh)；
        }
    }
 
    private void addComponentsToPane(Container pane，Image img) {
        if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("容器未采用 BorderLayout！"))；
            返回;
        }
 
JPanel sliderPanel = new JPanel()；
sliderPanel.setLayout(new BoxLayout(sliderPanel，BoxLayout.PAGE_AXIS))；
 
sliderPanel.add(new JLabel(LOW_H_NAME))；
sliderLowH = new JSlider(0，MAX_VALUE_H，0)；
sliderLowH.setMajorTickSpacing(50)；
sliderLowH.setMinorTickSpacing(10)；
sliderLowH.setPaintTicks(true)；
sliderLowH.setPaintLabels(true)；
sliderPanel.add(sliderLowH)；
 
sliderPanel.add(new JLabel(HIGH_H_NAME))；
sliderHighH = new JSlider(0，MAX_VALUE_H，MAX_VALUE_H)；
sliderHighH.setMajorTickSpacing(50)；
sliderHighH.setMinorTickSpacing(10)；
sliderHighH.setPaintTicks(true)；
sliderHighH.setPaintLabels(true)；
sliderPanel.add(sliderHighH)；
 
sliderPanel.add(new JLabel(LOW_S_NAME))；
sliderLowS = new JSlider(0，MAX_VALUE，0)；
sliderLowS.setMajorTickSpacing(50)；
sliderLowS.setMinorTickSpacing(10)；
sliderLowS.setPaintTicks(true)；
sliderLowS.setPaintLabels(true)；
sliderPanel.add(sliderLowS)；
 
sliderPanel.add(new JLabel(HIGH_S_NAME))；
sliderHighS = new JSlider(0，MAX_VALUE，MAX_VALUE)；
sliderHighS.setMajorTickSpacing(50)；
sliderHighS.setMinorTickSpacing(10)；
sliderHighS.setPaintTicks(true)；
sliderHighS.setPaintLabels(true)；
sliderPanel.add(sliderHighS)；
 
sliderPanel.add(new JLabel(LOW_V_NAME))；
sliderLowV = new JSlider(0，MAX_VALUE，0)；
sliderLowV.setMajorTickSpacing(50)；
sliderLowV.setMinorTickSpacing(10)；
sliderLowV.setPaintTicks(true)；
sliderLowV.setPaintLabels(true)；
sliderPanel.add(sliderLowV)；
 
sliderPanel.add(new JLabel(HIGH_V_NAME))；
sliderHighV = new JSlider(0，MAX_VALUE，MAX_VALUE)；
sliderHighV.setMajorTickSpacing(50)；
sliderHighV.setMinorTickSpacing(10)；
sliderHighV.setPaintTicks(true)；
sliderHighV.setPaintLabels(true)；
sliderPanel.add(sliderHighV)；
 
sliderLowH.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valH = Math.min(sliderHighH.getValue()-1，source.getValue())；
sliderLowH.setValue(valH)；
            }
        });
sliderHighH.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valH = Math.max(source.getValue(), sliderLowH.getValue() + 1);
sliderHighH.setValue(valH);
            }
        });
sliderLowS.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valS = Math.min(sliderHighS.getValue() - 1, source.getValue());
sliderLowS.setValue(valS);
            }
        });
sliderHighS.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valS = Math.max(source.getValue(), sliderLowS.getValue() + 1);
sliderHighS.setValue(valS);
            }
        });
sliderLowV.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valV = Math.min(sliderHighV.getValue() - 1, source.getValue());
sliderLowV.setValue(valV);
            }
        });
sliderHighV.addChangeListener(new ChangeListener() {
@Override
            public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource()；
                int valV = Math.max(source.getValue(), sliderLowV.getValue() + 1);
sliderHighV.setValue(valV);
            }
        });
 
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel framePanel = new JPanel();
imgCaptureLabel = new JLabel(new ImageIcon(img));
framePanel.add(imgCaptureLabel);
imgDetectionLabel = new JLabel(new ImageIcon(img));
framePanel.add(imgDetectionLabel);
pane.add(framePanel, BorderLayout.CENTER);
    }
 
    private void update(Mat imgCapture, Mat imgThresh) {
imgCaptureLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(imgCapture)));
imgDetectionLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(imgThresh)));
frame.repaint();
    }
 
    public static void main(String[] args) {
        // 加载本机 OpenCV 库
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
 
        // 调度事件分派线程的一项作业
        // 创建并显示此应用程序的 GUI。
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
            public void run() {
                new ThresholdInRange(args);
            }
        });
    }
}

教程代码如下所示。您还可以从此处下载。

from __future__ import print_function
import cv2 as cv
import argparse
 
max_value = 255
max_value_H = 360//2
low_H = 0
low_S = 0
low_V = 0
high_H = max_value_H
high_S = max_value
high_V = max_value
window_capture_name = '视频捕获'
window_detection_name = '目标检测'
low_H_name = '低 H'
low_S_name = '低 S'
low_V_name = '低 V'
high_H_name = '高 H'
high_S_name = '高 S'
high_V_name = '高 V'
 
 
def on_low_H_thresh_trackbar(val)
    global low_H
    global high_H
low_H = val
low_H = min(high_H-1, low_H)
    cv.setTrackbarPos(low_H_name, window_detection_name, low_H)
 
 
 
def on_high_H_thresh_trackbar(val)
    global low_H
    global high_H
high_H = val
high_H = max(high_H, low_H+1)
    cv.setTrackbarPos(high_H_name, window_detection_name, high_H)
 
 
def on_low_S_thresh_trackbar(val)
    global low_S
    global high_S
low_S = val
low_S = min(high_S-1, low_S)
    cv.setTrackbarPos(low_S_name, window_detection_name, low_S)
 
def on_high_S_thresh_trackbar(val)
    global low_S
    global high_S
high_S = val
high_S = max(high_S, low_S+1)
    cv.setTrackbarPos(high_S_name, window_detection_name, high_S)
 
def on_low_V_thresh_trackbar(val)
    global low_V
    global high_V
low_V = val
low_V = min(high_V-1, low_V)
    cv.setTrackbarPos(low_V_name, window_detection_name, low_V)
 
def on_high_V_thresh_trackbar(val)
    global low_V
    global high_V
high_V = val
high_V = max(high_V, low_V+1)
    cv.setTrackbarPos(high_V_name, window_detection_name, high_V)
 
parser = argparse.ArgumentParser(description='基于阈值操作教程的代码.')
parser.add_argument('--camera', help='摄像头编号.', default=0, type=int)
args = parser.parse_args()
 
 
cap = cv.VideoCapture(args.camera)
 
 
 
cv.namedWindow(window_capture_name)
cv.namedWindow(window_detection_name)
 
 
 
cv.createTrackbar(low_H_name, window_detection_name , low_H, max_value_H, on_low_H_thresh_trackbar)
cv.createTrackbar(high_H_name, window_detection_name , high_H, max_value_H, on_high_H_thresh_trackbar)
cv.createTrackbar(low_S_name, window_detection_name , low_S, max_value, on_low_S_thresh_trackbar)
cv.createTrackbar(high_S_name, window_detection_name , high_S, max_value, on_high_S_thresh_trackbar)
cv.createTrackbar(low_V_name, window_detection_name , low_V, max_value, on_low_V_thresh_trackbar)
cv.createTrackbar(high_V_name, window_detection_name , high_V, max_value, on_high_V_thresh_trackbar)
 
 
while True
    
ret, frame = cap.read()
    如果 frame 是 无
        退出
 
frame_HSV = cv.cvtColor(frame, cv.COLOR_BGR2HSV)
frame_threshold = cv.inRange(frame_HSV, (low_H, low_S, low_V), (high_H, high_S, high_V))
    
 
    
    cv.imshow(window_capture_name, frame)
    cv.imshow(window_detection_name, frame_threshold)
    
 
key = cv.waitKey(30)
    如果 key == ord('q') 或 key == 27
        退出

说明

让我们检查一下程序的总体结构

从默认或提供的捕获设备捕获视频流。

C++

VideoCapture cap(argc > 1 ? atoi(argv[1]) : 0);

Java

cap = new VideoCapture(cameraDevice);

Python

cap = cv.VideoCapture(args.camera)
创建一个窗口以显示默认帧和阈值帧。

C++

namedWindow(window_capture_name);

namedWindow(window_detection_name);

Java

// 创建并设置窗口。

frame = new JFrame(WINDOW_NAME);

frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

frame.addWindowListener(new WindowAdapter() {

@Override

public void windowClosing(WindowEvent windowEvent) {

captureTask.cancel(true);

}

});

// 设置内容窗格。

Image img = HighGui.toBufferedImage(matFrame);

addComponentsToPane(frame.getContentPane(), img);

// 使用内容窗格的默认 BorderLayout。无需

// setLayout(new BorderLayout());

// 显示窗口。

frame.pack();

frame.setVisible(true);

Python

cv.namedWindow(window_capture_name)

cv.namedWindow(window_detection_name)
创建轨迹栏以设置 HSV 值的范围

C++

// 滑块设置 HSV 值的阈值

createTrackbar("Low H", window_detection_name, &low_H, max_value_H, on_low_H_thresh_trackbar);

createTrackbar("High H", window_detection_name, &high_H, max_value_H, on_high_H_thresh_trackbar);

createTrackbar("Low S", window_detection_name, &low_S, max_value, on_low_S_thresh_trackbar);

createTrackbar("High S", window_detection_name, &high_S, max_value, on_high_S_thresh_trackbar);

createTrackbar("Low V", window_detection_name, &low_V, max_value, on_low_V_thresh_trackbar);

createTrackbar("High V", window_detection_name, &high_V, max_value, on_high_V_thresh_trackbar);

Java

sliderPanel.add(new JLabel(LOW_H_NAME))；

sliderLowH = new JSlider(0，MAX_VALUE_H，0)；

sliderLowH.setMajorTickSpacing(50)；

sliderLowH.setMinorTickSpacing(10)；

sliderLowH.setPaintTicks(true)；

sliderLowH.setPaintLabels(true)；

sliderPanel.add(sliderLowH)；

sliderPanel.add(new JLabel(HIGH_H_NAME))；

sliderHighH = new JSlider(0，MAX_VALUE_H，MAX_VALUE_H)；

sliderHighH.setMajorTickSpacing(50)；

sliderHighH.setMinorTickSpacing(10)；

sliderHighH.setPaintTicks(true)；

sliderHighH.setPaintLabels(true)；

sliderPanel.add(sliderHighH)；

sliderPanel.add(new JLabel(LOW_S_NAME))；

sliderLowS = new JSlider(0，MAX_VALUE，0)；

sliderLowS.setMajorTickSpacing(50)；

sliderLowS.setMinorTickSpacing(10)；

sliderLowS.setPaintTicks(true)；

sliderLowS.setPaintLabels(true)；

sliderPanel.add(sliderLowS)；

sliderPanel.add(new JLabel(HIGH_S_NAME))；

sliderHighS = new JSlider(0，MAX_VALUE，MAX_VALUE)；

sliderHighS.setMajorTickSpacing(50)；

sliderHighS.setMinorTickSpacing(10)；

sliderHighS.setPaintTicks(true)；

sliderHighS.setPaintLabels(true)；

sliderPanel.add(sliderHighS)；

sliderPanel.add(new JLabel(LOW_V_NAME))；

sliderLowV = new JSlider(0，MAX_VALUE，0)；

sliderLowV.setMajorTickSpacing(50)；

sliderLowV.setMinorTickSpacing(10)；

sliderLowV.setPaintTicks(true)；

sliderLowV.setPaintLabels(true)；

sliderPanel.add(sliderLowV)；

sliderPanel.add(new JLabel(HIGH_V_NAME))；

sliderHighV = new JSlider(0，MAX_VALUE，MAX_VALUE)；

sliderHighV.setMajorTickSpacing(50)；

sliderHighV.setMinorTickSpacing(10)；

sliderHighV.setPaintTicks(true)；

sliderHighV.setPaintLabels(true)；

sliderPanel.add(sliderHighV)；

Python

cv.createTrackbar(low_H_name, window_detection_name , low_H, max_value_H, on_low_H_thresh_trackbar)

cv.createTrackbar(high_H_name, window_detection_name , high_H, max_value_H, on_high_H_thresh_trackbar)

cv.createTrackbar(low_S_name, window_detection_name , low_S, max_value, on_low_S_thresh_trackbar)

cv.createTrackbar(high_S_name, window_detection_name , high_S, max_value, on_high_S_thresh_trackbar)

cv.createTrackbar(low_V_name, window_detection_name , low_V, max_value, on_low_V_thresh_trackbar)

cv.createTrackbar(high_V_name, window_detection_name , high_V, max_value, on_high_V_thresh_trackbar)
在用户希望程序退出之前执行以下操作

C++

cap >> 帧；

if（帧.empty()）

{

退出;

}

// 从 BGR 转换为 HSV 颜色空间

cvtColor(frame, frame_HSV, COLOR_BGR2HSV);

// 根据 HSV 范围值检测对象

inRange(frame_HSV, Scalar(low_H, low_S, low_V), Scalar(high_H, high_S, high_V), frame_threshold);

Java

private class CaptureTask extends SwingWorker<Void, Mat> {

@Override

protected Void doInBackground() {

Mat matFrame = new Mat();

while (!isCancelled()) {

if (!cap.read(matFrame)) {

退出;

}

publish(matFrame.clone());

}

return null;

}

@Override

protected void process(List<Mat> frames) {

Mat frame = frames.get(frames.size() - 1);

Mat frameHSV = new Mat();

Imgproc.cvtColor(frame, frameHSV, Imgproc.COLOR_BGR2HSV);

Mat thresh = new Mat();

Core.inRange(frameHSV, new Scalar(sliderLowH.getValue(), sliderLowS.getValue(), sliderLowV.getValue()),

new Scalar(sliderHighH.getValue(), sliderHighS.getValue(), sliderHighV.getValue()), thresh);

update(frame，thresh)；

}

}

Python

ret, frame = cap.read()

如果 frame 是无

退出

frame_HSV = cv.cvtColor(frame, cv.COLOR_BGR2HSV)

frame_threshold = cv.inRange(frame_HSV, (low_H, low_S, low_V), (high_H, high_S, high_V))
显示图像

C++

// 显示帧

imshow(window_capture_name, frame);

imshow(window_detection_name, frame_threshold);

Java

imgCaptureLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(imgCapture)));

imgDetectionLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(imgThresh)));

frame.repaint();

Python

cv.imshow(window_capture_name, frame)

cv.imshow(window_detection_name, frame_threshold)
对于控制较低范围的轨迹栏，例如色相值

C++

static void on_low_H_thresh_trackbar(int, void *)

{

low_H = min(high_H-1, low_H);

setTrackbarPos("低 H", window_detection_name, low_H);

}

Java

sliderLowH.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

JSlider source = (JSlider) e.getSource()；

int valH = Math.min(sliderHighH.getValue()-1，source.getValue())；

sliderLowH.setValue(valH)；

}

});

Python

def on_low_H_thresh_trackbar(val)

global low_H

global high_H

low_H = val

low_H = min(high_H-1, low_H)

cv.setTrackbarPos(low_H_name, window_detection_name, low_H)

static void on_low_H_thresh_trackbar(int, void *)

{

low_H = min(high_H-1, low_H);

setTrackbarPos("低 H", window_detection_name, low_H);

}
对于控制较高范围的轨迹栏，例如色相值

C++

static void on_high_H_thresh_trackbar(int, void *)

{

high_H = max(high_H, low_H+1);

setTrackbarPos("高 H", window_detection_name, high_H);

}

Java

sliderHighH.addChangeListener(new ChangeListener() {

@Override

public void stateChanged(ChangeEvent e) {

JSlider source = (JSlider) e.getSource()；

int valH = Math.max(source.getValue(), sliderLowH.getValue() + 1);

sliderHighH.setValue(valH);

}

});

Python

def on_high_H_thresh_trackbar(val)

global low_H

global high_H

high_H = val

high_H = max(high_H, low_H+1)

cv.setTrackbarPos(high_H_name, window_detection_name, high_H)
有必要找到最大值和最小值，以避免阈值的高值小于低值等差异。

结果

编译此程序后，运行它。该程序将打开两个窗口
当您从轨迹栏设置范围值时，所得帧将在另一个窗口中可见。


原始作者	Lorena García
兼容性	Rishiraj Surti

目录

目的

理论

HSV 颜色空间

代码

说明

结果