Question

Fit to page ID Page view A Re - + of the cropped tile, width (int) is the width of the cropped tile Retur ed image that is a 3D list of int Example crop ([ LLU ,1, ,2,2), (3,3,3]], [(4,4,4], [5,5,5),(6,6,6]], [[7,7,7], [8,8,8], [9,9,9]] ), (0,0), 1, 2) [[[1,1,1], [2,2,2]]] color2gray(image) Description: It takes a color image (3D list) and returns a new grayscale image (2D list) where each pixel will take the average value of the three color components truncated to integer. Input image should not be altered in any way. Parameters: image (3D list of int) is the color image Return value: The grayscale image that is a 2D list of int Example color2gray([[[1,1,2], [2,5,2]], [[3,4,4), (5,9,5]] 1) [[1, 3], [3, 6]] extract_layer (image, color) Description: It extracts a single color out of the RGB values of the color image and returns this layer as a grayscale image. Input image should not be altered in any way. Parameters: image (3D list of int) is the color image, color (string) is either 'red' or 'green' or 'blue' A on liet of int

Answer 1

Here is the code:

# To crop image
def crop(image,origin,height,width):
ret=[]
row = 0
col = 0
for i in image:
rgb =[] # to store row of pixels
for j in i:
# Store the pixels of crop boundary area only
if row < (origin[0] + height) and col < (origin[1]+width):
rgb.append(j)
col += 1
if rgb:
ret.append(rgb)
row += 1
col = 0
return ret
  
# To extract gray color
def color2gray(image):
gray=[]
for i in image:
rgb =[] # to store row of pixels
for j in i:
rgb.append(sum(j)//3)
gray.append(rgb)
return gray

# To extract one color layer
def extract_layer(image,color):
layer = []
if color == 'red':
idx = 0
elif color == 'green':
idx = 1
elif color == 'blue':
idx = 2
  
for i in image:
rgb = []
for j in i:
rgb.append(j[idx]) # extract only color index value
layer.append(rgb)
return layer

# Test program
image=[[[1,1,1],[2,2,2],[3,3,3]],
[[4,4,4],[5,5,5],[6,6,6]],
[[7,7,7],[8,8,8],[9,9,9]] ]

print("crop(image,(0,0),1,2)) of image ",image ,"is",crop(image,(0,0),1,2))

image= [ [[1,1,2],[2,5,2]],
[[3,4,4],[5,9,5]] ]
print("color2gray(image) of image",image,"is", color2gray(image))

print("extract_layer(image, 'red') of image", image,"is",extract_layer(image, 'red'))

# To crop image def crop (image, origin, height, width): ret=[] row = 0 col = 0 for i in image: rgb = [] # to store row of pixels for j in i: # Store the pixels of crop boundary area only if row < (origin[0] + height) and col < (origin[1]+width): rgb.append(j) col += 1 if rgb: ret.append(rgb) row += 1 col = 0 return ret 19 20 # To extract gray color def color2gray(image): gray=[] for i in image: rgb = [] # to store row of pixels for j in i: rgb.append(sum(j)//3) gray.append(rgb) return gray 30 - 31 # To extract one color layer def extract_layer(image, color): layer = [] if color == 'red': idx = 0 elif color == 'green': idx = 1 elif color == 'blue': idx = 2 for i in image: rgb = [] for j in i: rgb.append(j[idx]) # extract only color index value layer.append( rgb) return layer 46 47 # Test program image=[[[1,1,1], [2,2,2), (3,3,3]], [[4,4,4], (5,5,5), (6,6,6]], [[7,7,7], [8,8,8], [9,9,9]] ] print("crop( image, (0,0), 1,2)) of image ", image,"is", crop(image, (0,0),1,2)) image= [ [[1,1,2], [2,5,2]], [[3,4,4), (5,9,5]] ] print("color2gray(image) of image", image,"is", color2gray(image)) print("extract_layer(image, 'red') of image", image,"is", extract_layer(image, 'red'))

Sample output

29 # To extract one color layer 20 dof nutnnct lavancimann colon). input crop(image, (0,0),1,2)) of image [[[1, 1, 1], [2, 2, 2], [3, 3, 3]], [[4, 4, 4], [5, 5, 5], [6, 6, 6]], [[7, 7, 7], [8, 8, 8] <, 19, 9, 9]]] is [[[1, 1, 1], [2, 2, 2]]] color2gray(image) of image [[[1, 1, 2], [2, 5, 2]], [[3, 4, 4], [5, 9, 5]]] is [[1, 3], [3, 6]] extract_layer( image, 'red') of image [[[1, 1, 2], [2, 5, 2]], [[3, 4, 4], [5, 9, 5]]] is [[1, 2], [3, 5]] ...Program finished with exit code o Press ENTER to exit console. I