C#+OpenCV基础(八)_获取修改图片亮度

合集 - C#+机器视觉OpenCV(27)

1.C#+OpenCV学习笔记(目录)-目录2024-07-102.C#+OpenCV基础(一)_加载创建复制保存图片2024-07-103.C#+OpenCV基础(二)_灰度化二值化2024-07-104.C#+OpenCV基础(三)_修改高宽剪切拼接缩放2024-07-105.C#+OpenCV基础(四)_旋转翻转透视2024-07-106.C#+OpenCV基础(五)_添加边框2024-07-107.C#+OpenCV基础(六)_均值中值高斯双边滤波2024-07-108.C#+OpenCV基础(七)_图像金字塔2024-07-10

9.C#+OpenCV基础(八)_获取修改图片亮度2024-07-10

10.C#+OpenCV基础(九)_拆分合并图层2024-07-1011.C#+OpenCV基础(十)_灰度变化与直方图2024-07-1012.C#+OpenCV基础(十一)_图片基础计算2024-07-1013.C#+OpenCV基础(十二)_图片形态学计算2024-07-1014.C#+OpenCV基础(十三)_图片白平衡矫正2024-07-1015.C#+OpenCV基础(十四)_绘制像素、图形、文字2024-07-1016.C#+OpenCV基础(十五)_图像的基础分割方法2024-07-1117.C#+OpenCV基础(十六)_识别圆、直线、斑点、轮廓2024-07-1118.C#+OpenCV基础(十七)_计算图片相似度2024-07-1119.C#+OpenCV基础(十八)_模版匹配2024-07-1120.C#+OpenCV进阶(一)_人体识别2024-07-1121.C#+OpenCV进阶(二)_文字识别2024-07-1122.C#+OpenCV进阶(三)_操作摄像头与视频文件2024-07-1123.C#+OpenCV进阶(四)_录屏2024-07-1124.C#+OpenCV实战(一)_图片简易角度矫正2024-07-1125.C#+OpenCV实战(二)_春天转秋天2024-07-1126.C#+OpenCV实战(三)_玉米粒计数2024-07-1127.C#+OpenCV实战(四)_特定钢板缺陷检测2024-07-11

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1、获取图片亮度

/// <summary>
/// 获取图片的亮度(取HSV中V通道的均值)
/// </summary>
/// <param name="mat">图片</param>
/// <returns></returns>
public static Scalar GetVChannelMean(Mat mat)
{
    // 转Hsv图片
    Mat hsv = new Mat();
    Cv2.CvtColor(mat, hsv, ColorConversionCodes.BGR2HSV);

    // 取V通道
    Cv2.Split(hsv, out Mat[] mats);
    Mat vMat = mats[2];

    // 求平均值
    Scalar meanValue = vMat.Mean();  // 同 Cv2.Mean(vMat);

    return meanValue;
}

2、修改图片亮度

/// <summary>
/// 修改图片的亮度(修改HSV中V通道的每个像素值;但不进行对比度补偿)
/// </summary>
/// <param name="mat">图片</param>
/// <param name="modifyValue">修改值</param>
/// <returns></returns>
public static Mat SetVChannelValue(Mat mat, int modifyValue)
{
    // 转Hsv图片
    Mat hsv = new Mat();
    Cv2.CvtColor(mat, hsv, ColorConversionCodes.BGR2HSV);

    // 取V通道并修改值
    Cv2.Split(hsv, out Mat[] mats);
    //mats[2] = new Mat(mats[2].Size(), mats[2].Type(), new Scalar(255));  // 修改值；new Scalar(modifyValue)
    Mat mat2 = new Mat();
    Cv2.Add(mats[2], new Scalar(modifyValue), mat2);
    mats[2] = mat2;

    // 合并
    Mat dstMet = new Mat();
    Cv2.Merge(mats, dstMet);

    return dstMet;
}