How to determine the color of an image in opencv?

Question

OpenCV

Hello. I have several images with dominant colors on them (for example, 90% of the image is bright red), most of the articles on the net easily give information on how to highlight the dominant color, but it always turns out different. the images have slightly different brightness and many tints, how do i turn a bunch of rgb tints into color: "red", "green".

PS An example with two pictures, and their dominant colors:


I need to get just the text: "reg" and "blue"

Answer 1

The solution turned out to be much simpler, you just need to calculate the distance between colors: https
://en.wikipedia.org/wiki/%D0%A4%D0%BE%D1%80%D...
list (php)?
Found an example on js:
https://github.com/dtao/nearest-color

Answer 2

Hastily written. Adapt as needed:

import matplotlib.pyplot as plt
%matplotlib inline
import cv2
from PIL import Image, ImageDraw
import numpy

def get_colors(infile, numcolors=10, swatchsize=20, resize=150):

    plt.rcParams['figure.figsize'] = [15, 3]
    f,ax = plt.subplots(1,2)
    
    image = Image.open(infile)
    orig = image.copy()
    image = image.resize((resize, resize))
    result = image.convert('P', palette=Image.ADAPTIVE, colors=numcolors)
    result.putalpha(0)
    colors = result.getcolors(resize*resize)

    pal = Image.new('RGB', (swatchsize*numcolors, swatchsize))
    draw = ImageDraw.Draw(pal)

    posx = 0

    for count, col in sorted(colors, key=lambda x: x[0], reverse=True):
        draw.rectangle([posx, 0, posx+swatchsize, swatchsize], fill=col)
        posx = posx + swatchsize

    img = numpy.asarray(pal)
    del draw
    
    print('File: ', infile)
    for im in sorted(colors, key=lambda x: x[0], reverse=True):
        if im[1].index(max(im[1])) == 0:
            print(im, 'red')
        elif im[1].index(max(im[1])) == 1:
            print(im, 'green')
        elif im[1].index(max(im[1])) == 2:
            print(im, 'blue')

    ax[0].imshow(orig)
    ax[1].imshow(img)

if __name__ == '__main__':
    get_colors('D:\\00\\sample01.jpg', numcolors=1)
    get_colors('D:\\00\\sample02.jpg', numcolors=1)
    get_colors('D:\\00\\sample03.jpg', numcolors=1)

Answer 3

normalization

Answer 4

g python hex color to name
https://stackoverflow.com/questions/9694165/conver...
https://pypi.org/project/webcolors/1.3/