SA-Kenan/04_Spurerkennung/dev/dev_indexierung_Bildmatrix.py

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2022-05-09 20:30:26 +02:00
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 21 17:49:58 2022
@author: Kenan
"""
import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
path = r"U:\bwsyncshare\image.png"
image_bgr = cv.imread(path, cv.IMREAD_COLOR) # load original image
image_b,image_g,image_r = cv.split(image_bgr) # Split colour channels and get grayscale images
image_r = image_r.astype(np.uint16)
image_g = image_g.astype(np.uint16)
image_b = image_b.astype(np.uint16)
img_rgb=image_bgr[:,:,::-1]
image_grayscale = cv.cvtColor(image_bgr, cv.COLOR_BGR2GRAY) # Y = 0.299 R + 0.587 G + 0.114 B
image_grayscale_KG = (image_r+image_g+image_b)/3
image_grayscale_KG = image_grayscale_KG.astype(int) # quick and dirty way to convert to uint8 array
image_column = 6
image_row = 243
image_bgr_b = image_bgr[image_column, image_row, 0]
image_b_b = image_b[image_column, image_row]
plt.imshow(img_rgb)
# get pixel info from specific color channel
print(image_b.shape[0]) # 416 columns
print(image_b.shape[1]) # 320 rows
#image_b[row, column]
print(image_b[230, 20])
#image_bgr[row, column, dim]
print(image_bgr[230,20,0])
# Test for addition of colors
row = 245
column = 70
print('Color addition:')
blue = image_bgr[row,column, 0]
green = image_bgr[row,column, 1]
red = image_bgr[row,column, 2]
print(f'blue: {blue}')
print(f'green: {green}')
print(f'red: {red}')
grayscale = image_grayscale[row, column]
grayscale_AVG = image_grayscale_KG[row, column]
print(f'gray Y: {grayscale}')
print(f'gray AVG: {grayscale_AVG}')
image_r = image_r.astype(np.uint16)
image_g = image_g.astype(np.uint16)
image_b = image_b.astype(np.uint16)
res = image_r[row, column]+image_g[row, column]+image_b[row, column]
print(f"addition of r g b: {res}")