opencv入门编程图像显示载入输出(VS2015+OpenCV3.4.9)

上传者: alon729 | 上传时间: 2024-07-21 23:32:22 | 文件大小: 26MB | 文件类型: ZIP
在本文中,我们将深入探讨如何使用OpenCV库进行C++编程,特别关注图像的加载、显示和输出。OpenCV(开源计算机视觉库)是计算机视觉和机器学习领域的一个强大工具,广泛应用于图像处理、图像分析以及机器学习算法的实现。 让我们了解OpenCV的基本概念。OpenCV是一个跨平台的库,提供了丰富的函数和类来处理图像和视频数据。它最初由Intel开发,现在由全球的开源社区维护。OpenCV支持多种编程语言,包括C++、Python、Java等,而在这个场景中,我们使用的是C++。 在Visual Studio 2015环境下,你需要配置OpenCV库才能使用其功能。下载并安装OpenCV 3.4.9版本,然后在项目设置中添加OpenCV的头文件目录和库目录。确保在链接器选项中指定OpenCV的库文件,这样你的项目就能正确地找到和使用OpenCV的功能。 接下来,我们将讨论三个基本的OpenCV图像操作:图像加载、显示和输出。 1. **图像加载**:在OpenCV中,可以使用`imread()`函数从磁盘加载图像。这个函数返回一个`Mat`对象,这是OpenCV中表示图像的主要数据结构。例如: ```cpp cv::Mat image = cv::imread("path_to_your_image.jpg"); ``` 如果图像成功加载,`image`将包含图像数据;否则,它将是一个空的`Mat`。 2. **图像显示**:一旦图像被加载,你可以使用`imshow()`函数在窗口中显示它。你需要为每个窗口指定一个唯一的标题,并传递`Mat`对象作为参数。显示图像后,可以使用`waitKey()`函数暂停程序,等待用户按键事件,通常设置一个延迟时间,例如1毫秒。 ```cpp cv::namedWindow("Image Display", cv::WINDOW_NORMAL); cv::imshow("Image Display", image); cv::waitKey(0); ``` 3. **图像输出**:要将图像保存到磁盘,可以使用`imwrite()`函数。提供输出文件路径和要保存的`Mat`对象即可。 ```cpp cv::imwrite("output_image.jpg", image); ``` 在提供的压缩包文件中,可能包含了三个示例项目:openCVTest05、openCVTest04和opencvTest。这些项目可能分别演示了上述的图像加载、显示和输出过程,或者可能涉及更复杂的图像处理技术,如颜色空间转换、滤波、特征检测等。通过查看和运行这些项目,你可以更好地理解和应用OpenCV的基本功能。 总结一下,OpenCV是一个强大的计算机视觉库,适用于图像处理和分析。在Visual Studio 2015中,你可以使用C++配合OpenCV 3.4.9进行图像的读取、显示和保存。通过实践上述示例和项目,你可以加深对OpenCV的理解,为后续的计算机视觉项目打下坚实的基础。

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( 90 个子文件 26MB ) opencv入门编程图像显示载入输出(VS2015+OpenCV3.4.9)
openCVTest05
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openCVTest05.sln 1.29KB
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vc140.pdb 2.22MB
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