Commit 7803e46d authored by Kelly Chang's avatar Kelly Chang
parents eb82c903 bd4c8ec2
...@@ -69,17 +69,19 @@ if __name__ == '__main__': ...@@ -69,17 +69,19 @@ if __name__ == '__main__':
diff = [] diff = []
for ii in range(len(tiff1)): for ii in range(len(tiff1)):
image = Image.open(tiff1[ii]) image = Image.open(tiff1[ii]) #Open the image and read it as an Image object
image = np.array(image)[1:,:] image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data
ar1, ar2 = image.shape ar1, ar2 = image.shape
ind1, ind2 = np.random.randint(0,ar1), np.random.randint(0,ar2) ind1, ind2 = np.random.randint(0,ar1), np.random.randint(0,ar2) #ind1 randomly selects a row, ind2 randomly selects a column,
surrounding = [] #this is now a random pixel selection within the image
for i,j in product(np.arange(-1,2), repeat=2):
if i == 0 and j == 0: surrounding = [] #initialize a list to be filled the 8 surrounding pixels
for i,j in product(np.arange(-1,2), repeat=2): #Iterate through the combinations of surrounding pixel indices
if i == 0 and j == 0: #Avoid the target pixel
continue continue
else: else:
surrounding.append(image[ind1+i, ind1+j]) surrounding.append(image[ind1+i, ind1+j]) #Add the other 8 pixels to the list
diff.append(np.max(surrounding)-np.min(surrounding)) diff.append(np.max(surrounding)-np.min(surrounding))
......
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