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1cbeaa252a
* Image processing algorithms added * Example images included * Issues resolved * class added * Naming issues fixes * Create file_path
66 lines
1.9 KiB
Python
66 lines
1.9 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Created on Fri Sep 28 15:22:29 2018
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@author: Binish125
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"""
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import copy
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import os
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import numpy as np
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import cv2
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import matplotlib.pyplot as plt
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class contrastStretch:
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def __init__(self):
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self.img = ""
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self.original_image = ""
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self.last_list = []
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self.rem = 0
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self.L = 256
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self.sk = 0
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self.k = 0
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self.number_of_rows = 0
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self.number_of_cols = 0
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def stretch(self, input_image):
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self.img = cv2.imread(input_image, 0)
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self.original_image = copy.deepcopy(self.img)
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x, _, _ = plt.hist(self.img.ravel(), 256, [0, 256], label="x")
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self.k = np.sum(x)
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for i in range(len(x)):
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prk = x[i] / self.k
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self.sk += prk
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last = (self.L - 1) * self.sk
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if self.rem != 0:
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self.rem = int(last % last)
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last = int(last + 1 if self.rem >= 0.5 else last)
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self.last_list.append(last)
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self.number_of_rows = int(np.ma.count(self.img) / self.img[1].size)
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self.number_of_cols = self.img[1].size
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for i in range(self.number_of_cols):
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for j in range(self.number_of_rows):
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num = self.img[j][i]
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if num != self.last_list[num]:
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self.img[j][i] = self.last_list[num]
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cv2.imwrite("output_data/output.jpg", self.img)
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def plotHistogram(self):
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plt.hist(self.img.ravel(), 256, [0, 256])
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def showImage(self):
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cv2.imshow("Output-Image", self.img)
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cv2.imshow("Input-Image", self.original_image)
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cv2.waitKey(5000)
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cv2.destroyAllWindows()
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if __name__ == "__main__":
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file_path = os.path.join(os.path.basename(__file__), "image_data/input.jpg")
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stretcher = contrastStretch()
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stretcher.stretch(file_path)
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stretcher.plotHistogram()
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stretcher.showImage()
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