CODEWITHSUNDEEP
pythonopencvcolors
Farhan Alfin
Farhan Alfin

Reputation: 94

what is the type of image have to be for colour checker detection

When I tried to use a color detection library of color project for an image opened by OpenCV, I thought I would have to convert it to RGB. But when I did that, I received an incorrect result of color checker segmentation. In the original example of color checker segmentation example, the image opened using:

COLOUR_CHECKER_IMAGES = [
    colour.cctf_decoding(colour.io.read_image("IMG_1967.png"))
   ]
for image in COLOUR_CHECKER_IMAGES:
    plot_image(colour.cctf_encoding(image))
# Detection
SWATCHES = []

# for image in COLOUR_CHECKER_IMAGES:
for swatches, colour_checker, masks in detect_colour_checkers_segmentation(
        image, additional_data=True):
    SWATCHES.append(swatches)
    # Using the additional data to plot the colour checker and masks.
    masks_i = np.zeros(colour_checker.shape)
    for i, mask in enumerate(masks):
        masks_i[mask[0]:mask[1], mask[2]:mask[3], ...] = 1

plot_image(
        colour.cctf_encoding(
            np.clip(colour_checker + masks_i * 0.25, 0, 1)))

The images decoded during opening and then encoded to use it for detect_colour_checkers_segmentation and to display the result had to encoding the resulted image. These were taking a long time and the calculating results make the result not accurate.

I found that it is better to open image by OpenCV as BGR and use it in detect_colour_checkers_segmentation and encoding the resulted image.

Can someone explain to me why this is?

Upvotes: 0

Views: 355

Answers (1)

Kel Solaar
Kel Solaar

Reputation: 4090

The expectation for the colour_checker_detection. detect_colour_checkers_segmentation definition is for the image data to be linear floating-point RGB in range [0, 1].

Upvotes: 1

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