From 1cbeaa252ad5822c9197b385a99e550f7aa2f897 Mon Sep 17 00:00:00 2001 From: Binish Manandhar <37204996+binish784@users.noreply.github.com> Date: Tue, 10 Dec 2019 12:37:40 +0545 Subject: [PATCH] Image processing algorithms added (#616) * Image processing algorithms added * Example images included * Issues resolved * class added * Naming issues fixes * Create file_path --- .../histogram_stretch.py | 65 ++++++++++++++++++ .../image_data/input.jpg | Bin 0 -> 60104 bytes .../output_data/output.jpg | Bin 0 -> 118463 bytes 3 files changed, 65 insertions(+) create mode 100644 digital_image_processing/histogram_equalization/histogram_stretch.py create mode 100644 digital_image_processing/histogram_equalization/image_data/input.jpg create mode 100644 digital_image_processing/histogram_equalization/output_data/output.jpg diff --git a/digital_image_processing/histogram_equalization/histogram_stretch.py b/digital_image_processing/histogram_equalization/histogram_stretch.py new file mode 100644 index 000000000..b6557d6ef --- /dev/null +++ b/digital_image_processing/histogram_equalization/histogram_stretch.py @@ -0,0 +1,65 @@ +# -*- coding: utf-8 -*- +""" +Created on Fri Sep 28 15:22:29 2018 + +@author: Binish125 +""" +import copy +import os + +import numpy as np + +import cv2 +import matplotlib.pyplot as plt + + +class contrastStretch: + def __init__(self): + self.img = "" + self.original_image = "" + self.last_list = [] + self.rem = 0 + self.L = 256 + self.sk = 0 + self.k = 0 + self.number_of_rows = 0 + self.number_of_cols = 0 + + def stretch(self, input_image): + self.img = cv2.imread(input_image, 0) + self.original_image = copy.deepcopy(self.img) + x, _, _ = plt.hist(self.img.ravel(), 256, [0, 256], label="x") + self.k = np.sum(x) + for i in range(len(x)): + prk = x[i] / self.k + self.sk += prk + last = (self.L - 1) * self.sk + if self.rem != 0: + self.rem = int(last % last) + last = int(last + 1 if self.rem >= 0.5 else last) + self.last_list.append(last) + self.number_of_rows = int(np.ma.count(self.img) / self.img[1].size) + self.number_of_cols = self.img[1].size + for i in range(self.number_of_cols): + for j in range(self.number_of_rows): + num = self.img[j][i] + if num != self.last_list[num]: + self.img[j][i] = self.last_list[num] + cv2.imwrite("output_data/output.jpg", self.img) + + def plotHistogram(self): + plt.hist(self.img.ravel(), 256, [0, 256]) + + def showImage(self): + cv2.imshow("Output-Image", self.img) + cv2.imshow("Input-Image", self.original_image) + cv2.waitKey(5000) + cv2.destroyAllWindows() + + +if __name__ == "__main__": + file_path = os.path.join(os.path.basename(__file__), "image_data/input.jpg") + stretcher = contrastStretch() + stretcher.stretch(file_path) + stretcher.plotHistogram() + stretcher.showImage() diff --git a/digital_image_processing/histogram_equalization/image_data/input.jpg b/digital_image_processing/histogram_equalization/image_data/input.jpg new file mode 100644 index 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