CamScanner Script (HarshCasper#918)

* Camscanner Script Added

* Sample Image and Readme Added

* 8 ways to Scan

* README updated

* README updated

* Updated requirements.txt in README

* Create requirements.txt

Co-authored-by: vybhav72954 <[email protected]>

Author: SmritiAgrawal04

Python/Camscanner/README.md

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+# Generate Scanned Image
+
+## This script is used to generate a scanned copy of the image provided.
+
++ On running this script, a scanned file of the orignal image is generated after applying Adaptive Thresholding. 
+
++ It is effective when an image has different lighting conditions in different areas. Here, the algorithm determines the threshold for a pixel based on a small region around it. So we get different thresholds for different regions of the same image which gives better results for images with varying illumination. 
+
++ And this is what done in the script, multiple threshold values are set up in order to give image a scanned and enhanced look.
+
+
+## To run the script:
+
+1. Setup a virtual environment.
+2. Install the dependencies by running ```pip3 install -r requirements.txt```
+3. Run the script.
+
+```sh
+python camscanner.py \<filename\>
+```
+       
+## References:
+
+For Thresholding, consider going through [OpenCV Doecumantation](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_thresholding/py_thresholding.html) and this [Article](https://medium.com/@anupriyam/basic-image-thresholding-in-opencv-5af9020f2472).

Python/Camscanner/camscanner.py

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+import sys,cv2
+import numpy as np
+import matplotlib.pyplot as plt
+
+if __name__ == '__main__':
+
+    # the image that needs to be scanned
+    filename= sys.argv[1]
+
+    img= cv2.imread(filename)
+    gray_img=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
+
+    thresh1 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)
+    cv2.imwrite('try1.jpg',thresh1)
+
+    thresh2 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 31, 3)
+    cv2.imwrite('try2.jpg',thresh2)
+
+    thresh3 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 13, 5)
+    cv2.imwrite('try3.jpg',thresh3)
+
+    thresh4 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 4)
+    cv2.imwrite('try4.jpg',thresh4)
+
+    thresh5 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 11, 2)
+    cv2.imwrite('try5.jpg',thresh5)
+
+    thresh6 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 31, 5)
+    cv2.imwrite('try6.jpg',thresh6)
+
+    thresh7 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 21,5 )
+    cv2.imwrite('try7.jpg',thresh7)
+
+    thresh8 = cv2.adaptiveThreshold(gray_img, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 31, 5)
+    cv2.imwrite('try8.jpg',thresh8)
+
+
+    cv2.waitKey(0)
+    cv2.destroyAllWindows()

Python/Camscanner/requirements.txt

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+opencv-python==4.5.1.48
+numpy>=1.20
+matplotlib==3.1.2