CODEWITHSUNDEEP
python-3.xopencv
Jasar Orion
Jasar Orion

Reputation: 686

Python Opencv Tell the color name when get rgb from image

I need to get the color of a pixels in a specifict region of image. Im using this script in python:

import cv2

image = cv2.imread('abc.jpg')

color = image[100,50]

print(color) # gives me the RGB color (12,156,222)

and if a need to get the hex of it:

hex = (color[0] << 16) + (color[1] << 8) + (color[2])

my question is: There is a way to tell me what color is it? (12,156,222) thank you.

Upvotes: 2

Views: 3611

Answers (2)

Jasar Orion
Jasar Orion

Reputation: 686

I found another way to solve this problem using webcolor i was able to detect the closest color

import webcolors
import time
start = time.time()
def closest_colour(requested_colour):
    min_colours = {}
    for key, name in webcolors.CSS3_HEX_TO_NAMES.items():
        r_c, g_c, b_c = webcolors.hex_to_rgb(key)
        rd = (r_c - requested_colour[0]) ** 2
        gd = (g_c - requested_colour[1]) ** 2
        bd = (b_c - requested_colour[2]) ** 2
        min_colours[(rd + gd + bd)] = name
    return min_colours[min(min_colours.keys())]

def get_colour_name(requested_colour):
    try:
        closest_name = actual_name = webcolors.rgb_to_name(requested_colour)
    except ValueError:
        closest_name = closest_colour(requested_colour)
        actual_name = None
    return actual_name, closest_name

requested_colour = (255, 0, 0)
actual_name, closest_name = get_colour_name(requested_colour)

print("Actual colour name:", actual_name, ", closest colour name:", closest_name)
print("Tempo: ", time.time() - start)

if anyone have another bester method please send here ^^

Upvotes: 1

J_H
J_H

Reputation: 20425

You can look it up at: https://shallowsky.com/colormatch/index.php?r=12&g=156&b=222

[spoiler alert: "DeepSkyBlue3"]

In general, you want to start with

  1. a list of name → R,G,B values, and
  2. a distance function

Then it's a matter of computing distance between each of those and your target value. Return the corresponding name for whichever list entry has minimum distance to target.

A previous SO answer offers such an algorithm: Python - Find similar colors, best way

Using Euclidean distance (L2 norm) in some random color space is less than principled, though often sufficient. If you want to sweat the details, consider relying on https://python-colormath.readthedocs.io. (You might even want to discuss maintainership with the author.)

If "perceptually similar" matters to you, definitely use Lab: https://en.wikipedia.org/wiki/CIELAB_color_space

Upvotes: 0

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