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  • OpenCv 009---色彩空间与色彩空间转换

    1 前备知识

    各颜色对应的范围

    2 所用到的主要OpenCv API

    /** @brief Converts an image from one color space to another.

    @param src input image: 8-bit unsigned, 16-bit unsigned ( CV_16UC... ), or single-precision
    floating-point.
    @param dst output image of the same size and depth as src.
    @param code color space conversion code (see #ColorConversionCodes).
    @param dstCn number of channels in the destination image; if the parameter is 0, the number of the
    channels is derived automatically from src and code.

    @see @ref imgproc_color_conversions
    */

    CV_EXPORTS_W void cvtColor( InputArray src, OutputArray dst, int code, int dstCn = 0 );


    /** @brief Checks if array elements lie between the elements of two other arrays.

    That is, dst (I) is set to 255 (all 1 -bits) if src (I) is within the
    specified 1D, 2D, 3D, ... box and 0 otherwise.

    When the lower and/or upper boundary parameters are scalars, the indexes
    (I) at lowerb and upperb in the above formulas should be omitted.
    @param src first input array.
    @param lowerb inclusive lower boundary array or a scalar.
    @param upperb inclusive upper boundary array or a scalar.
    @param dst output array of the same size as src and CV_8U type.
    */

    CV_EXPORTS_W void inRange(InputArray src, InputArray lowerb,
                              InputArray upperb, OutputArray dst);

    /** @brief Blurs an image using the normalized box filter.

    The function smooths an image using the kernel:

    @param src input image; it can have any number of channels, which are processed independently, but
    the depth should be CV_8U, CV_16U, CV_16S, CV_32F or CV_64F.
    @param dst output image of the same size and type as src.
    @param ksize blurring kernel size.
    @param anchor anchor point; default value Point(-1,-1) means that the anchor is at the kernel
    center.
    @param borderType border mode used to extrapolate pixels outside of the image, see #BorderTypes
    @sa boxFilter, bilateralFilter, GaussianBlur, medianBlur
    */

    CV_EXPORTS_W void blur( InputArray src, OutputArray dst,
                            Size ksize, Point anchor = Point(-1,-1),
                            int borderType = BORDER_DEFAULT );

    /** @brief Blurs an image using the median filter.

    @note The median filter uses #BORDER_REPLICATE internally to cope with border pixels, see #BorderTypes

    @param src input 1-, 3-, or 4-channel image; when ksize is 3 or 5, the image depth should be
    CV_8U, CV_16U, or CV_32F, for larger aperture sizes, it can only be CV_8U.
    @param dst destination array of the same size and type as src.
    @param ksize aperture linear size; it must be odd and greater than 1, for example: 3, 5, 7 ...
    @sa bilateralFilter, blur, boxFilter, GaussianBlur
    */

    CV_EXPORTS_W void medianBlur( InputArray src, OutputArray dst, int ksize );

    3 程序代码

    #include "opencv2opencv.hpp"
    #include <iostream>
    
    using namespace std;
    using namespace cv;
    
    int main(int argc, char**argv)
    {
        Mat src = imread("G:\CVworkstudy\program_wwx\研习社140课时\ZhaiZhigang140\lena.jpg");
        if (src.empty())
        {
            printf("Could not load image...
    ");
            return -1;
        }
    
        //色彩空间转换
        Mat yuvImg, hsvImg, ycrcbImg;
        cvtColor(src, yuvImg, CV_BGR2YUV);
        cvtColor(src, hsvImg, CV_BGR2HSV);
        cvtColor(src, ycrcbImg, CV_BGR2YCrCb);
        //图像显示
        imshow("YUV", yuvImg);
        imshow("HSV", hsvImg);
        imshow("YCRCB", ycrcbImg);
    
        Mat getColorImg, getMask, getMask1;
        getColorImg = imread("G:\CVworkstudy\program_wwx\研习社140课时\ZhaiZhigang140\myPhoto.jpg");
        //imshow("MyPhoto", getColorImg);
        cvtColor(getColorImg, getColorImg, CV_BGR2HSV);//颜色提取需要先转换为HSV颜色空间
        //That is, dst (I) is set to 255 (all 1 -bits) if src (I) is within the
        //specified 1D, 2D, 3D, ... box and 0 otherwise.
        inRange(getColorImg, Scalar(100, 43, 46), Scalar(124, 255, 255), getMask);//蓝色范围内的颜色转换为255,其他为0
        blur(getMask, getMask1, Size(5, 5));//均值滤波会使边缘变得模糊
        imshow("GetMask1", getMask1);
        medianBlur(getMask, getMask, 5);//中值滤波对边缘轮廓影响较小
        imshow("GetMask", getMask);
    
        waitKey(0);
        return 0;
    }

    4 运行结果

    5 扩展及注意事项

    NULL

    One day,I will say "I did it"
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  • 原文地址:https://www.cnblogs.com/Vince-Wu/p/11119131.html
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