Opencv系列7_opencv通过进度条阈值选定分割JPG图像并显示保存

淩亂°似流年 2022-09-03 03:27 214阅读 0赞

#  **实例7：opencv通过进度条阈值选定分割JPG图像并显示保存** #

#include <opencv2/opencv.hpp>
    #include <iostream>
    #include <math.h>
    
    using namespace cv;
    Mat src, gray_src, dst;//定义Mat对象
    int threshold_value = 178;//设置阈值  127
    int threshold_max = 255;//RGB（0~255）最大值
    int type_value = 2;
    int type_max = 4;
    const char* output_title = "binary image";//定义输出标题为二进制图像
    void Threshold_Demo(int, void*);//定义函数
    int main(int argc, char** argv) {
    	src = imread("1.jpg");//读入图像
    	if (!src.data) { //如果没有数据
    		printf("could not load image...\n");
    		return -1;
    	}
    	namedWindow("input image", CV_WINDOW_AUTOSIZE);//创建一个窗口，自动设置窗口大小
    	namedWindow(output_title, CV_WINDOW_AUTOSIZE);
    	imshow("input image", src);//在"input image"窗口显示原图像
    	//设置拖动棒  （手动拖动的阈值  
    	createTrackbar("Threshold Value:", output_title, &threshold_value, threshold_max, Threshold_Demo);
    	createTrackbar("Type Value:", output_title, &type_value, type_max, Threshold_Demo);
    	Threshold_Demo(0, 0);
    
    	waitKey(0);//键盘任意键关闭
    	return 0;
    }
    
    void Threshold_Demo(int, void*) {
    	cvtColor(src, gray_src, CV_BGR2GRAY);//RGB图像对象src转换为灰度图像对象gray_src
    	//imshow("GRAY", gray_src);//显示灰度图像
    	//threshold(gray_src, dst, threshold_value, threshold_max, type_value);
    	threshold(gray_src, dst, threshold_value, threshold_max, THRESH_BINARY);
    	//保存阈值后图像
    	imwrite("threshold_1.jpg", dst);
    	imshow(output_title, dst);
    }

阈值通过进度条手动调整为106和178时的效果：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70][] ![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70 1][]

保存阈值分割后的图像：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70 2][]

**[本例程配套素材见源码整理文章下载（点击进入）][Link 1]**

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70]: https://img-blog.csdnimg.cn/20210421112306453.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz,size_16,color_FFFFFF,t_70
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70 1]: /images/20220829/def8906ebfb2405bb698f6ae71e48730.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzMyODA5MDkz_size_16_color_FFFFFF_t_70 2]: /images/20220829/a15fe3d5f40f49b6a231b3b087d43b54.png
[Link 1]: https://blog.csdn.net/qq_32809093/article/details/115689942