Commit a88ba837 authored by Nathaniel Callens's avatar Nathaniel Callens

histogram experiments

parent 2aa38181
......@@ -101,18 +101,18 @@ def plot_hist(tiff_list):
image = Image.open(image) #Open the image and read it as an Image object
image = np.array(image)[1:,:] #Convert to an array, leaving out the first row because the first row is just housekeeping data
row, col = image.shape
predict = np.empty(row,col) # create a empty matrix to update prediction
predict = np.empty((row,col)) # create a empty matrix to update prediction
predict[0,:] = image[0,:] # keep the first row from the image
predict[:,0] = image[:,0] # keep the first columen from the image
diff = np.empty(row,col)
diff[0,:] = np.zeros(row) # keep the first row from the image
diff[:,0] = np.zeros(col)
for r in range(1,row): # loop through the rth row
for c in range(1,col): # loop through the cth column
surrounding = anp.array([predict[r-1,c-1], predict[r-1,c], predict[r-1,c+1], predict[r1,c-1]])
diff = np.empty((row,col))
diff[0,:] = np.zeros(col) # keep the first row from the image
diff[:,0] = np.zeros(row)
for r in range(1,row-1): # loop through the rth row
for c in range(1,col-1): # loop through the cth column
surrounding = np.array([predict[r-1,c-1], predict[r-1,c], predict[r-1,c+1], predict[r,c-1]])
predict[r,c] = np.mean(surrounding) # take the mean of the previous 4 pixels
diff[r,c] = (np.max(surrounding)-np.min(surrounding))
return image, predict, diff
if __name__ == '__main__':
......@@ -124,5 +124,9 @@ if __name__ == '__main__':
scenes = file_extractor()
images = image_extractor(scenes)
image, predict, difference = plot_hist(images)
error = np.abs(image-predict)
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