用C++代码实现tif影像的匀光匀色程序

以下是一个简单的C++程序，用于对tif影像进行均匀光照和色彩平衡：

#include <iostream>
#include <string>
#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv;

int main(int argc, char** argv)
{
    if (argc < 2)
    {
        cout << "Usage: ./image_balance <filename>" << endl;
        return -1;
    }

    string filename = argv[1];

    Mat image = imread(filename, IMREAD_COLOR);

    if (image.empty())
    {
        cout << "Could not open or find the image" << endl;
        return -1;
    }

    Mat gray_image;
    cvtColor(image, gray_image, COLOR_BGR2GRAY);

    Mat lab_image;
    cvtColor(image, lab_image, COLOR_BGR2Lab);

    vector<Mat> lab_planes;
    split(lab_image, lab_planes);

    Ptr<CLAHE> clahe = createCLAHE();
    clahe->setClipLimit(4);

    Mat dst;
    clahe->apply(lab_planes[0], dst);

    dst.copyTo(lab_planes[0]);
    merge(lab_planes, lab_image);

    Mat balanced_image;
    cvtColor(lab_image, balanced_image, COLOR_Lab2BGR);

    namedWindow("Original Image", WINDOW_NORMAL);
    namedWindow("Balanced Image", WINDOW_NORMAL);

    imshow("Original Image", image);
    imshow("Balanced Image", balanced_image);

    waitKey(0);
    destroyAllWindows();

    return 0;
}

该程序使用OpenCV库来加载tif影像，然后将其转换为灰度图像和Lab色彩空间。接下来，它使用对比度有限自适应直方图均衡化（CLAHE）算法来对亮度通道进行均匀化。最后，它将图像转换回BGR色彩空间，并显示原始图像和均衡化后的图像。