Feature: adding image filters scritps

Image-Processing/Multi Filters Include Negative/README.md

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+# Multi Filters Include Negative
+
+The multi filters provides eleven differents filters to apply on images. It includes the Blur effect, Contour, Detail, Edge enhance and the Edge enhance more, Emboss, Find_egdes, Sharpen, Smooth and the Smooth_more and the Negative effect
+
+## Installing dependences
+
+First of all, we should check if we are using an updated version of pip, with this line:
+
+    `python3 -m pip install --upgrade pip`
+
+Now, we need to install Pillow library to support images on Python:
+
+    `python3 -m pip install --upgrade Pillow`
+
+Then, the opencv library help us with computer vision, providing us with functions to apply filters:
+
+    `pip install opencv-python`
+
+Others dependences that we are going to need are matplotlib, to display the images and for that we need to install numpy:
+
+    `pip install numpy`
+
+and then install matplotlib:
+
+    `matplotlib: python -m pip install -U matplotlib`
+
+note that matplotlib may install numpy as a dependence, but is a good practice to do it manually
+
+## Running
+
+To get the program running we use the command below:
+
+    `python filters.py [NAME OF FILE IMAGE]`
+
+It will show us the image we chosen and open a menu with the filters, from which we got to write a number corresponding to the filter we would like
+
+## Example
+
+Let's try out with a normal image of an apple
+<p align="center">
+  <img src="apple.jpg" width="250" height="250">
+</p>
+
+Applying each of the filters, we get the following results:
+
+1 - Blur filter
+<p align="center">
+  <img src="./images/apple_1_converted.jpg" width="250" height="250">
+</p>
+
+2 - Contour filter
+<p align="center">
+  <img src="./images/apple_2_converted.jpg" width="250" height="250">
+</p>
+
+3 - Detail filter
+<p align="center">
+  <img src="./images/apple_3_converted.jpg" width="250" height="250">
+</p>
+
+4 - Edge enhance filter
+<p align="center">
+  <img src="./images/apple_4_converted.jpg" width="250" height="250">
+</p>
+
+5 - Edge enhance more filter
+<p align="center">
+  <img src="./images/apple_5_converted.jpg" width="250" height="250">
+</p>
+
+6 - Emboss filter
+<p align="center">
+  <img src="./images/apple_6_converted.jpg" width="250" height="250">
+</p>
+
+7 - Find_egdes filter
+<p align="center">
+  <img src="./images/apple_7_converted.jpg" width="250" height="250">
+</p>
+
+8 - Sharpen filter
+<p align="center">
+  <img src="./images/apple_8_converted.jpg" width="250" height="250">
+</p>
+
+9 - Smooth filter
+<p align="center">
+  <img src="./images/apple_9_converted.jpg" width="250" height="250">
+</p>
+
+10 - Smooth_more filter
+<p align="center">
+  <img src="./images/apple_10_converted.jpg" width="250" height="250">
+</p>
+
+11 - Negative filter
+<p align="center">
+  <img src="./images/apple_11_converted.jpg" width="250" height="250">
+</p>

Image-Processing/Multi Filters Include Negative/filters.py

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+from PIL import Image
+from PIL import ImageFilter
+import matplotlib.pyplot as plt
+import negative_image
+import cv2
+import sys
+import os
+
+# Loading images
+if len(sys.argv) == 2:
+	fn_with_ext = sys.argv[1]
+	filename, file_extension = os.path.splitext(sys.argv[1])
+else:
+    print("No input image given, so loading default image, lena.jpg \n")
+    print("Correct Usage: python grabcut.py <filename> \n")  
+
+# Insert path here 
+img = Image.open(fn_with_ext)
+img = img.convert('RGB')
+
+plt.imshow(img)
+plt.show()
+
+# List of Filters (is selected in menu option)
+filters = [ImageFilter.BLUR, ImageFilter.CONTOUR, ImageFilter.DETAIL, ImageFilter.EDGE_ENHANCE, ImageFilter.EDGE_ENHANCE_MORE, ImageFilter.EMBOSS, ImageFilter.FIND_EDGES, ImageFilter.SHARPEN, ImageFilter.SMOOTH, ImageFilter.SMOOTH_MORE]
+
+while True:
+	try:
+		print("MENU OF FILTERS IMAGE APPLICATION", end=" ")
+		print("(CHOOSE A OPTION BELLOW TO FILTER AN IMAGE):")
+
+		print("1- BLUR")
+		print("2- CONTOUR")
+		print("3- DETAIL")
+		print("4- EDGE_ENHANCE")
+		print("5- EDGE_ENHANCE_MORE")
+		print("6- EMBOSS")
+		print("7- FIND_EDGES")
+		print("8- SHARPEN")
+		print("9- SMOOTH")
+		print("10- SMOOTH_MORE")
+		print("11- NEGATIVE")
+		print("Ctr+D FOR EXIT")
+
+		opt = None
+		while True:
+			try:
+				opt = int(input())
+				if (opt >= 1 and opt <= 11):
+					break
+			except ValueError:
+				print("PLEASE, DIGIT A INTEGER NUMBER BETWEEN 1 AND 11")
+
+		if (opt >= 1 and opt <= 10):
+			img1 = img.filter(filters[opt-1])
+			img1.save(f"./images/{filename}_{opt}_converted{file_extension}", "JPEG")
+		else:
+			img1 = negative_image.negative(fn_with_ext)
+			cv2.imwrite(f"./images/{filename}_{opt}_converted{file_extension}", img1)
+
+		plt.imshow(img1)
+		plt.show()
+	except EOFError:
+		break

Image-Processing/Multi Filters Include Negative/negative_image.py

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+import cv2 
+
+def negative(image):
+	img_bgr = cv2.imread(image, 1) 
+
+	img_neg = 255 - img_bgr 
+
+	return img_neg