from readpgm import read_pgm, list_to_2D_list, copy
from etc_function import solve4eqaultion, Bilinear
from dist_list import disgrid, grid
from writepgm import writepgm
filename = "./image/4./distlenna.pgm"
# filename = "./image/4./distgrid.pgm"
col = 0
row = 0
mattrix_img = []
listimg, col, row = read_pgm(filename, col, row)
mattrix_img = list_to_2D_list(listimg, mattrix_img, col, row)
grid = grid()
dist = disgrid()
x = [0] * 4
y = [0] * 4
w1_to_4 = [0] * 4
w5_to_8 = [0] * 4
w = [0] * 8
x_dist = [0] * 4
y_dist = [0] * 4
xy = []
Am = []
x_vertor_dist = [0] * 4
for i in range(4):
xy_in_loop = []
Am_in_loop = []
for j in range(4):
xy_in_loop.append(0)
from readpgm import read_pgm, list_to_2D_list, copy
from writepgm import writepgm
from etc_function import createHistogram
file_Lenna = "./image/4_/distlenna.pgm"
converted_img_Lenna = []
mattrix_FalseGrid = []
mattrix_TrueGrid = []
mattrix_Lenna = []
col = 0
row = 0
converted_img_Lenna, col, row = read_pgm(file_Lenna, col, row)
mattrix_Lenna = list_to_2D_list(converted_img_Lenna, mattrix_Lenna, col, row)
mattrix_TrueGrid = mattrix_Lenna # mattrix_TrueGrid have gray level 0 at cutting point 255 otherwise
for i in range(len(mattrix_TrueGrid)):
for j in range(len(mattrix_TrueGrid[i])):
mattrix_TrueGrid[i][j] = 255
for i in range(len(mattrix_TrueGrid)):
for j in range(len(mattrix_TrueGrid[i])):
if (((j != 0) and (j % 16) == 0)):
if (((i + 1) % 16) == 0):
mattrix_TrueGrid[i][j] = 0
elif (j == 0):
if ((i % 16) == 0 or (i == 0)):
mattrix_TrueGrid[i][j] = 0
# cutting point from FalseGrid
disgrid = [[[0, 0], [16, 0], [32, 0], [48, 0], [64, 0], [80, 0], [96, 0],
[112, 0], [128, 0], [144, 0], [160, 0], [176, 0], [192, 0],
[208, 0], [224, 0], [240, 0], [255, 0]],
from readpgm import read_pgm, list_to_2D_list, copy
from momentFunction import pqmoment, pqN, pqHu
from etc_function import createHistogram
filename = "./image/1./scaled_shapes.pgm"
converted_img = []
mattrix_img = []
col = 0
row = 0
converted_img, col, row = read_pgm(filename, col, row)
mattrix_img = list_to_2D_list(converted_img, mattrix_img, col, row)
object_dict = {}
count = 0
histogram = createHistogram(converted_img)
# count object
for key in histogram:
if histogram[key] > 1500 and key != 255:
object_dict[key] = histogram.get(key)
count = count + 1
print("Histogram of image :")
print(histogram)
print("Number of Object : " + str(count))
print("Gray level of each object")
print(object_dict)
maskesOb_img = copy(mattrix_img)
for key in object_dict:
from writepgm import writepgm
from etc_function import createHistogram
fileBlue = "./image/3_/SanFranPeak_blue.pgm"
fileRed = "./image/3_/SanFranPeak_red.pgm"
fileGreen = "./image/3_/SanFranPeak_green.pgm"
converted_img_Blue = []
converted_img_Red = []
converted_img_Green = []
mattrix_img_Blue = []
mattrix_img_Red = []
mattrix_img_Green = []
col = 0
row = 0
converted_img_Blue, col, row = read_pgm(fileBlue, col, row)
converted_img_Red, col, row = read_pgm(fileRed, col, row)
converted_img_Green, col, row = read_pgm(fileGreen, col, row)
mattrix_img_Blue = list_to_2D_list(converted_img_Blue, mattrix_img_Blue, col,
row)
mattrix_img_Red = list_to_2D_list(converted_img_Red, mattrix_img_Red, col, row)
mattrix_img_Green = list_to_2D_list(converted_img_Green, mattrix_img_Green,
col, row)
mattrix_img_Result = mattrix_img_Blue
for i in range(len(mattrix_img_Blue)): # mixed color
for j in range(len(mattrix_img_Blue[i])):
template = (mattrix_img_Blue[i][j] + mattrix_img_Red[i][j] +
mattrix_img_Green[i][j]) / 3
template2 = int(template)
if (template - template2) >= 0.5:
from readpgm import read_pgm filename = "./image/1_/scaled_shapes.pgm" col = 0 row = 0 img, col, row = read_pgm(filename, col, row) img2 = read_pgm(filename, col, row) # print(img[2])
mattrix_img_new[i][j] = int(
(mattrix_img_green[i][j] + mattrix_img_red[i][j] +
mattrix_img_blue[i][j]) / 3)
mattrix_img_new[i][j] = checklimit(mattrix_img_new[i][j])
return mattrix_img_new
filename_blue = "./image/3./SanFranPeak_blue.pgm"
filename_red = "./image/3./SanFranPeak_red.pgm"
filename_green = "./image/3./SanFranPeak_green.pgm"
col = 0
row = 0
mattrix_img_red = []
mattrix_img_green = []
mattrix_img_blue = []
listimg_red, col, row = read_pgm(filename_red, col, row)
listimg_green, col, row = read_pgm(filename_blue, col, row)
listimg_blue, col, row = read_pgm(filename_green, col, row)
mattrix_img_red = list_to_2D_list(listimg_red, mattrix_img_red, col, row)
mattrix_img_blue = list_to_2D_list(listimg_blue, mattrix_img_blue, col, row)
mattrix_img_green = list_to_2D_list(listimg_green, mattrix_img_green, col, row)
exceedgreen = formula1(mattrix_img_blue, mattrix_img_red, mattrix_img_green,
col, row)
red_blue_diff = formula2(mattrix_img_blue, mattrix_img_red, mattrix_img_green,
col, row)
intensity = formula3(mattrix_img_blue, mattrix_img_red, mattrix_img_green, col,
row)
