APS - Processamento de Imagens

import cv2 as cv

import matplotlib.pyplot as plt

quad = []

quad.append(cv.imread('Quad1.png'))

quad.append(cv.imread('Quad2.png'))

quad.append(cv.imread('Quad3.png'))

quad.append(cv.imread('Quad4.png'))

quad.append(cv.imread('Quad5.png'))

triang = []

triang.append(cv.imread('Triang1.png'))

triang.append(cv.imread('Triang2.png'))

triang.append(cv.imread('Triang3.png'))

triang.append(cv.imread('Triang4.png'))

triang.append(cv.imread('Triang5.png'))

circ = []

circ.append(cv.imread('Circ1.png'))

circ.append(cv.imread('Circ2.png'))

circ.append(cv.imread('Circ3.png'))

circ.append(cv.imread('Circ4.png'))

circ.append(cv.imread('Circ5.png'))

areaQuad = []

perimetroQuad = []

compacidadeQuad = []

areaTriang = []

perimetroTriang = []

compacidadeTriang = []

areaCirc = []

perimetroCirc = []

compacidadeCirc = []

i = -1

#Quadrado

while i < 4:

i = i + 1

img = cv.cvtColor(quad[i], cv.COLOR_BGR2GRAY)

__, img = cv.threshold(img, 127, 255, cv.THRESH_BINARY_INV)

f1 = []

for pos in range(0, img.shape[0]):

f1.append(cv.countNonZero(img[0:img.shape[0], pos]))

total = sum(f1)

areaQuad.append(total)

edge = cv.Canny(img, 100, 200)

f2 = []

for pos in range(0, edge.shape[0]):

f2.append(cv.countNonZero(edge[0:edge.shape[0], pos]))

total = sum(f2)

perimetroQuad.append(total)

total = pow(perimetroQuad[i], 2) / areaQuad[i]

compacidadeQuad.append(total)

del f1

del f2

total = 0

i = -1

#Triangulo

while i < 4:

i = i + 1

img = cv.cvtColor(triang[i], cv.COLOR_BGR2GRAY)

__, img = cv.threshold(img, 127, 255, cv.THRESH_BINARY_INV)

f1 = []

for pos in range(0, img.shape[0]):

f1.append(cv.countNonZero(img[0:img.shape[0], pos]))

total = sum(f1)

areaTriang.append(total)

edge = cv.Canny(img, 100, 200)

f2 = []

for pos in range(0, edge.shape[0]):

f2.append(cv.countNonZero(edge[0:edge.shape[0], pos]))

total = sum(f2)

perimetroTriang.append(total)

total = pow(perimetroTriang[i], 2) / areaTriang[i]

compacidadeTriang.append(total)

del f1

del f2

total = 0

i = -1

#Circulo

while i < 4:

i = i + 1

img = cv.cvtColor(circ[i], cv.COLOR_BGR2GRAY)

__, img = cv.threshold(img, 127, 255, cv.THRESH_BINARY_INV)

f1 = []

for pos in range(0, img.shape[0]):

f1.append(cv.countNonZero(img[0:img.shape[0], pos]))

total = sum(f1)

areaCirc.append(total)

edge = cv.Canny(img, 100, 200)

f2 = []

for pos in range(0, edge.shape[0]):

f2.append(cv.countNonZero(edge[0:edge.shape[0], pos]))

total = sum(f2)

perimetroCirc.append(total)

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