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How to set inRange() bounds properly when converting color with CV_BGR2HLS ?

asked 2016-04-23 18:27:41 -0500

Major Squirrel gravatar image

updated 2020-10-29 17:32:59 -0500

Good evening,

I'm trying to use inRange() function, in line with cvtColor() but I'm a little bit confused as to the type of inRange() bounds.

I am converting an image from BGR to HLS (which, I don't know why, isn't HSL...), that is :

cv::cvtColor(original, converted, CV_BGR2HLS)

I would like to extract the white/beige pixels from the converted image. My questions are the following:

  • Why it is BGR2HLS and not BGR2HSL, which would be more obvious ?
  • What values should I put into my cv::Scalar bounds to get these white/beige pixels ? (in which order more precisely : Hue, Saturation and Lightness or Hue, Lightness and Saturation ?)

I am confused about the second question, because when I adjust the trackbars' values this way :

cv::Scalar(0, 115, 0) // lower bound
cv::Scalar(180, 255, 255) // upper bound

I can get white and beige pixels, but these values ​​do not seem to match the HSL range at all.

Thank you for your time !

EDIT: I changed the wording of the question and added some code. The code below is a little helper for me, to adjust HSL bounds.

EDIT2: I am an oyster, I forgot to change the title.

/*                  Taken from stackoverflow */
std::string         typeToString(int type) {
    std::string     ret;
    uchar           depth = type & CV_MAT_DEPTH_MASK;
    uchar           chans = 1 + (type >> CV_CN_SHIFT);

    ret = "CV_";
    switch (depth) {
        case CV_8U:  ret += "8U"; break;
        case CV_8S:  ret += "8S"; break;
        case CV_16U: ret += "16U"; break;
        case CV_16S: ret += "16S"; break;
        case CV_32S: ret += "32S"; break;
        case CV_32F: ret += "32F"; break;
        case CV_64F: ret += "64F"; break;
        default:     ret += "User"; break;
    }
    ret += "C";
    ret += (chans + '0');
    return (ret);
}

int                 launchHelper() {
    cv::Mat         colorConvertedFrame, firstFilterFrame;
    int             minH = 0, minS = 0, minL = 0;
    int             maxH = 180, maxS = 255, maxL = 255;
    cv::Scalar      minBound, maxBound;

    colorConvertedFrame = cv::imread(IMAGE_PATH);
    if (colorConvertedFrame.empty()) {
        std::cerr << "Frame is empty." << std::endl;
        return (-1);
    }
    std::cout << "Your image has type " << typeToString(colorConvertedFrame.type()) << " !" << std::endl;
    std::cout << "Your image has " << colorConvertedFrame.channels() << " channel(s) !" << std::endl;
    cv::namedWindow("Frame with converted color");
    cv::namedWindow("First filter");
    cv::namedWindow("Color panel");
    cv::createTrackbar("Min H", "Color panel", &minH, 180);
    cv::createTrackbar("Max H", "Color panel", &maxH, 180);
    cv::createTrackbar("Min S", "Color panel", &minS, 255);
    cv::createTrackbar("Max S", "Color panel", &maxS, 255);
    cv::createTrackbar("Min L", "Color panel", &minL, 255);
    cv::createTrackbar("Max L", "Color panel", &maxL, 255);
    while (cv::waitKey(1) != 27) {
        minBound = cv::Scalar(minH, minS, minL);
        maxBound = cv::Scalar(maxH, maxS, maxL);
        cv::inRange(colorConvertedFrame, minBound, maxBound, firstFilterFrame);
        cv::imshow("Frame with converted color", colorConvertedFrame);
        cv::imshow("First filter", firstFilterFrame);
    }
    return (0);
}

int                 main(int ac, char **av) {
    return (launchHelper());
}
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answered 2016-04-26 02:37:53 -0500

Major Squirrel gravatar image

Well, I'm so dumb.

Converting a frame from one palette to another one and using cv::inRange are two things completely different. I thought there was a link between the method used to convert the frame and the bounds of inRange() function, but there are absolutely not.

I hope that my answer will help some people that are confused using those functions together.

Converting a frame from one palette to another one is a thing. Whether you use a particular method, the result is the same : the pixels will be color-converted and the colors will be situated in RGB palette (BGR on OpenCV). Whether you use BGR2HSV or BGR2HLS, pixels will be color-converted to another color.

Using cv::inRange to thresh your frame is another thing. I had originally thought that depending on the method used to color-convert pixels, the bounds of the inRange() function would be different: absolutely not. Since the results of the color-conversion remain in the RGB palette, the bounds must be defined in RGB too (BGR on OpenCV).

cv::Scalar(minimum_blue, minimum_green, minimum_red)
cv::Scalar(maximum_blue, maximum_green, maximum_red)

So, for example, if you only want to retrieve some purple, this would be :

cv::Scalar(135, 0, 65)
cv::Scalar(200, 70, 130)

(NB: this is an example. These bounds are correctly set for purple but they're not an absolute reference for the purple you would consider to retrieve by yourself)

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Asked: 2016-04-23 18:27:41 -0500

Seen: 1,958 times

Last updated: Apr 26 '16