How do I convert HSV mask to BGR?

C++
1

Hi,

For this colour detection program I’m writing, I essentially convert an image to HSV and mask it to detect yellow (so white where yellow is, black otherwise) & then simply see if a given pixel is white or not.

    const cv::Mat roiImage = // read in image ... ;

	cv::Mat tmpMask ;
	cv::cvtColor(roiImage, tmpMask, cv::COLOR_BGR2HSV) ;
	cv::inRange(tmpMask, cv::Scalar(20, 100, 100), cv::Scalar(30, 255, 255), tmpMask) ;

Problem is, to see if a given pixel is white in value, I try to convert it back to BGR, but opencv keeps throwing an error regarding the fact HSV has one channel, BGR has 3.

	cv::Mat yellowMask ; cv::cvtColor(tmpMask, yellowMask, cv::COLOR_HSV2BGR) ;
                                               // ^ error here

terminate called after throwing an instance of 'cv::Exception'
  what():  OpenCV(4.2.0) ../modules/imgproc/src/color.simd_helpers.hpp:92: error: (-2:Unspecified error) in function 'cv::impl::{anonymous}::CvtHelper<VScn, VDcn, VDepth, sizePolicy>::CvtHelper(cv::InputArray, cv::OutputArray, int) [with VScn = cv::impl::{anonymous}::Set<3>; VDcn = cv::impl::{anonymous}::Set<3, 4>; VDepth = cv::impl::{anonymous}::Set<0, 5>; cv::impl::{anonymous}::SizePolicy sizePolicy = cv::impl::<unnamed>::NONE; cv::InputArray = const cv::_InputArray&; cv::OutputArray = const cv::_OutputArray&]'
> Invalid number of channels in input image:
>     'VScn::contains(scn)'
> where
>     'scn' is 1

The only work around I’ve found is to write the HSV mask externally (ie save it as an image) and then read it in, and presto that works, but is horribly inefficient.

How can I find a workaround for this issue? Thanks for your time

2

if you apply this in-place, it will destroy your hsv image, and replace it with a single channel, binary mask, which explains:

you don’t need to convert anything,
remember, you still got the original BGR image (roiImage) around ?

(it also does not make any sense to try to convert the mask, it’s binary, and does no more contain any colour information)

3

Long story short, yellow is a horrible colour to detect. I use distancing to see if a pixel is closest to BGR orange, black, blue, white or grey. If the pixel is orange, I then check if the corresponding pixel in the mask was detected as yellow. If the pixel is white, I say it’s yellow, else its actually orange.
So I can’t use the original BGR image in that if statement.
How can I do what I described by either using the mask or doing something else ?

4

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