calculate_corner

[dyasam]

import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np
img=mpimg.imread('adsiz.jpg')
%matplotlib inline

def get_distance (v,w=[1/3,1/3,1/3]):
a,b,c=v[0],v[1],v[2]
w1,w2,w3=w[0],w[1],w[2]
d=((a2)*w1+(b2)*w2+(c2)*w3).5
return d

def convert_rgbtogray(im_1):
m=im_1.shape[0]
n=im_1.shape[1]
im_2=np.zeros((m,n))
for i in range (m):
for j in range(n):
im_2[i,j]=get_distance(im_1[i,j,:])
return im_2

im_5= convert_rgbtogray(img)

plt.subplot(1,3,1),plt.imshow(img)
plt.subplot(1,3,2),plt.imshow(im_5, cmap='gray')

def convert_graytobw(image):
m=image.shape[0]
n=image.shape[1]
im_bw=np.zeros((m,n))
for i in range (m):
for j in range(n):
if im_bw[i,j]>120:
im_bw[i,j]=1
else:
im_bw[i,j]=0
im_bw[i,j]=get_distance(image[i,j,:])
return im_bw

im_4=convert_graytobw(img)

plt.subplot(1,3,1),plt.imshow(im_5)
plt.subplot(1,3,2),plt.imshow(im_4, cmap='gray')

my_block=im_4[10:12,50:52]
my_block=my_block.reshape(1,4)
my_block.shape

def pixel_compenent(img):
m=img.shape[0] # black 0 white 1
n=img.shape[1]
ext=0
inte=0
for i in range (1,m-1):
for j in range(1,n-1):
blok=img[i-1:i+1,j-1:j+1]
b=0
w=0
for k in range(2):
for l in range(2):
if blok[k,l]==1:
b=b+1
else:
w=w+1
if(b>w and w>0):
ext=ext+1
elif(w>b and b>0):
inte=inte+1

print(ext)
print(inte)
print((ext-inte)/4)

pixel_compenent(im_4)