使用透明层opencv读取和显示PNG时出现问题 | 使用透明层opencv读取和显示PNG时出现问题

本文介绍了使用透明层opencv读取和显示PNG时出现问题的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我正在做一个简单的阅读并显示PNG图像.我正在读取具有透明背景的png图像.我正在转换灰度图像，然后显示它.但是转换后的图像看起来像这样:

I am doing a simple reading and displaying PNG image. I am reading a png image with background as transparent. I am converting the image in greyscale and then displaying it. But the converted image is looking something like this:

原始图片:

灰度图像:

这是代码.我在做什么错了?:

Here is the code. What am I doing wrong?:

Mat image = imread("3X3_a11.png",IMREAD_GRAYSCALE);
Mat output(image.size(),image.type());
//    connectedComponents(image, output);
imshow("Output", image);
waitKey(0);
destroyAllWindows();

推荐答案

您的RGBA图像格式错误，或者至少非常不清晰.加载时，我看到警告:

Your RGBA image is malformed, or at least is very wierd. On loading I see the warning:

libpng warning: iCCP: known incorrect sRGB profile

不过，您可以通过以下简单处理来获取cv::connectedComponents的二进制版本:

You can however get the binary version need for cv::connectedComponents with simple processing like:

#include <opencv2\opencv.hpp>

int main()
{
    cv::Mat4b img4b = cv::imread("path_to_image", cv::IMREAD_UNCHANGED);

    // Convert to grayscale getting rid of alpha channel
    cv::Mat1b img(img4b.rows, img4b.cols, uchar(0));
    for (int r = 0; r < img4b.rows; ++r) {
        for (int c = 0; c < img4b.cols; ++c) {
            if (img4b(r, c) == cv::Vec4b(255,255,255,255)) {
                img(r, c) = uchar(255);
            }
            if (img4b(r, c)[3] == 0) {
                img(r, c) = uchar(255);
            }
        }
    }

    cv::imshow("img", img);
    cv::waitKey();
}

结果:

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