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testpenta.py
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testpenta.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Jul 15 09:11:01 2019
@author: TRAORE Cheick A. D. Gabriel pour utilisation personnelle et non commerciale
"""
import cv2
#from FACTORISATION import factorisation
import matplotlib.pyplot as plt
from MAILLAGE import maillage
from DEFIACCU import defAccu
from COMPTAGE import compt
import math
import time
import scipy.ndimage.filters as filters
import scipy.ndimage as ndimage
img=cv2.imread('Pentagon-Canny.png')
def select_recogRf(a,n,s,img):
d1=time.time()
#print(img.shape)
Nl=img.shape[0]
Nc=img.shape[1]
tab, tabool=maillage(Nl,Nc)
h=tab[0][0]*tab[0][1]
l=tab[1][0]*tab[1][1]
#d=tab[0][1]*tab[1][1]
theta_max=math.pi
r_max=(Nl**2+Nc**2)**0.5
acc, r_dim, theta_dim=defAccu(tab,tabool)
for x in range(0,h-tab[0][1],tab[0][1]):
for y in range(0,l-tab[1][1],tab[1][1]):
#A=(x,y)
#C=(x+tab[0][1],y+tab[1][1])
#print(compt((x,y),(x+tab[0][1],y+tab[1][1]),n,img))
if (compt((x,y),(x+tab[0][1],y+tab[1][1]),n,img))>=a:
for z in range(x,x+tab[0][1]+1):
for k in range(y,y+tab[1][1]+1):
if img[z,k,0] ==n:
for itheta in range(theta_dim):
theta = 1.0 * itheta * theta_max / theta_dim
r = z* math.cos(theta) + k * math.sin(theta)
ir = r_dim * ( 1.0 * r ) / r_max
ir,itheta=round(ir),round(itheta)
acc[ir,itheta] = acc[ir,itheta] + 1
#premier Si
if tabool[0]==1 and tabool[1]==0:
x=h
for y in range(0,l):
if img[x,y,0]==n:
for itheta in range(theta_dim):
theta = 1.0 * itheta * theta_max / theta_dim
r = z* math.cos(theta) + k * math.sin(theta)
ir = r_dim * ( 1.0 * r ) / r_max
ir,itheta=round(ir),round(itheta)
acc[ir,itheta] = acc[ir,itheta] + 1
#deuxieme Si
if tabool[0]==0 and tabool[1]==1:
y=l
for x in range(0,h):
if img[x,y,0]==n:
for itheta in range(theta_dim):
theta = 1.0 * itheta * theta_max / theta_dim
r = z* math.cos(theta) + k * math.sin(theta)
ir = r_dim * ( 1.0 * r ) / r_max
ir,itheta=round(ir),round(itheta)
acc[ir,itheta] = acc[ir,itheta] + 1
#dernier Si
if tabool[0]==1 and tabool[1]==1:
x=h
for y in range(0,l):
if img[x,y,0]==n:
for itheta in range(theta_dim):
theta = 1.0 * itheta * theta_max / theta_dim
r = z* math.cos(theta) + k * math.sin(theta)
ir = r_dim * ( 1.0 * r ) / r_max
ir,itheta=round(ir),round(itheta)
acc[ir,itheta] = acc[ir,itheta] + 1
y=l
for x in range(0,h):
if img[x,y,0]==n:
for itheta in range(theta_dim):
theta = 1.0 * itheta * theta_max / theta_dim
r = z* math.cos(theta) + k * math.sin(theta)
ir = r_dim * ( 1.0 * r ) / r_max
ir,itheta=round(ir),round(itheta)
acc[ir,itheta] = acc[ir,itheta] + 1
#---------------------------------------------------------------------
f2=time.time()
plt.imshow(acc,origin='lower')
plt.xlim(0,theta_dim)
plt.ylim(0,r_dim)
print('en seconde',f2-d1)
#plt.savefig('alpha=0 s=100',bbox_inches='tight')
#----------------------------------------------étape 3------------------------
#Recherche des maxima dans la matrice d'accumulation
neighborhood_size = 20
threshold = s #seuil
data_max = filters.maximum_filter(acc, neighborhood_size)
maxima = (acc == data_max)
data_min = filters.minimum_filter(acc, neighborhood_size)
diff = ((data_max - data_min) > threshold)
maxima[diff == 0] = 0
labeled, num_objects = ndimage.label(maxima)
slices = ndimage.find_objects(labeled)
x, y = [], []
for dy,dx in slices:
x_center = (dx.start + dx.stop - 1)/2
x+=[x_center]
y_center = (dy.start + dy.stop - 1)/2
y+=[y_center]
#-----------------------------étape 4-------------------------------------
#Construire les droites détectées
line_index = 0
for i,j in zip(y, x):
r = round( (i * r_max ) / r_dim,1)
theta = round( (j * theta_max) / theta_dim,1)
fig, ax = plt.subplots()
ax.imshow(img)
ax.autoscale(False)
px = []
py = []
for i in range(-Nc,Nc,1):
px+=[ math.cos(-theta) * i - math.sin(-theta) * r ]
py+=[ math.sin(-theta) * i + math.cos(-theta) * r ]
ax.plot(px,py, linewidth=5)
# plt.savefig("image_line1_"+ "%02d" % line_index +".png",bbox_inches='tight')
plt.show()
line_index = line_index + 1
ff=time.time()
print('Le temps final est: ',ff-d1,'Nombre de droites',line_index)