THEFASHIONGEEK

# Source: https://scikit-image.org/docs/dev/auto_examples/features_detection/plot_glcm.html

import matplotlib.pyplot as plt

from skimage.feature import greycomatrix, greycoprops
from skimage import data


PATCH_SIZE = 21

THEFASHIONGEEK

import numpy as np
from PIL import Image, ImageFilter
from matplotlib import pyplot as plt
img = Image.open("imgs/chapter5/indoor.jpg")

blurred = img.filter(ImageFilter.BLUR)

f = plt.figure(figsize=(15,15))
f.add_subplot(1, 2, 1).set_title('Original Image')
plt.imshow(img)

THEFASHIONGEEK

# Box blur using OpenCV with normalized kernel => Normal Blur

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter5/outdoor.jpg", -1)


# Used for even float type images
blurred_Normalized = np.uint8(cv2.boxFilter(img, cv2.CV_64F, ksize=(5, 5), normalize=True))

THEFASHIONGEEK

import numpy as np
import random
import cv2
from matplotlib import pyplot as plt
from PIL import Image, ImageFilter

def sp_noise(image,prob):
    '''
    Add salt and pepper noise to image
    prob: Probability of the noise

THEFASHIONGEEK

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter5/indoor.jpg", 0)

kernel = [
            [0, 1, 0],
            [1, -4, 1],
            [0, 1, 0]
]

THEFASHIONGEEK

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter5/sudoku.png", 0) 

kernel = [
            [1, 0, -1],
            [1, 0, -1],
            [1, 0, -1]
]

THEFASHIONGEEK

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter5/sudoku.png", 0)


kernel = [
            [1, 1, 1],
            [0, 0, 0],
            [-1, -1, -1]

THEFASHIONGEEK

import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread("imgs/chapter7/hist_eq.jpg", 0)

#################################FOCUS###########################
clahe = cv2.createCLAHE(clipLimit=2.0, tileGridSize=(8,8))
out = clahe.apply(img)
#################################################################

THEFASHIONGEEK

import numpy as np
from PIL import Image, ImageFilter
from matplotlib import pyplot as plt
img = Image.open("imgs/chapter7/rain.jpg")


####################################FOCUS###############################
output = img.filter(ImageFilter.FIND_EDGES);
########################################################################

THEFASHIONGEEK

import numpy as np
from PIL import Image, ImageFilter
from matplotlib import pyplot as plt
img = Image.open("imgs/chapter7/tessellate.png")


#######################################FOCUS############################################
output1 = img.filter(ImageFilter.EDGE_ENHANCE)
output2 = img.filter(ImageFilter.EDGE_ENHANCE_MORE)
########################################################################################