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RSF.py
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#coding:utf-8
import sys
import numpy as np
import cv2
import matplotlib.pyplot as plt
import math
def DrawContour(LSF,p1,p2):
plt.clf();
plt.imshow(Image),plt.xticks([]), plt.yticks([]);
plt.contour(LSF,[0],color = p1,linewidth = p2);
plt.show(block=False),plt.pause(0.01);
def mat_math (intput,str):
output=intput;
for i in range(img.shape[0]):
for j in range(img.shape[1]):
if str=="atan":
output[i,j] = math.atan(intput[i,j]);
if str=="sqrt":
output[i,j] = math.sqrt(intput[i,j]);
return output;
def RSF (LSF, img, mu, nu, epison,step,lambda1,lambda2,kernel):
Drc = (epison / math.pi) / (epison*epison+ LSF*LSF);
Hea = 0.5*(1 + (2 / math.pi)*mat_math(LSF/epison,"atan"));
Iy, Ix = np.gradient(LSF);
s = mat_math(Ix*Ix+Iy*Iy,"sqrt");
Nx = Ix / (s+0.000001);
Ny = Iy / (s+0.000001);
Mxx,Nxx =np.gradient(Nx);
Nyy,Myy =np.gradient(Ny);
cur = Nxx + Nyy;
Length = nu*Drc*cur;
Lap = cv2.Laplacian(LSF,-1);
Penalty = mu*(Lap - cur);
KIH = cv2.filter2D(Hea*img,-1,kernel);
KH = cv2.filter2D(Hea,-1,kernel);
f1 = KIH / KH;
KIH1 = cv2.filter2D((1-Hea)*img,-1,kernel);
KH1 = cv2.filter2D(1-Hea,-1,kernel);
f2 = KIH1 / KH1;
R1 = (lambda1- lambda2)*img*img;
R2 = cv2.filter2D(lambda1*f1 - lambda2*f2,-1,kernel);
R3 = cv2.filter2D(lambda1*f1*f1 - lambda2*f2*f2,-1,kernel);
RSFterm = -Drc*(R1-2*R2*img+R3);
LSF = LSF + step*(Length + Penalty + RSFterm);
#plt.imshow(s, cmap ='gray'),plt.show();
return LSF;
Image = cv2.imread('1.bmp',1);
image = cv2.cvtColor(Image,cv2.COLOR_BGR2GRAY)
img = np.float64(image)
#Kernel
sig=3;
kernel = np.ones((sig*4+1,sig*4+1),np.float64)/(sig*4+1)**2;
IniLSF = np.ones((img.shape[0],img.shape[1]),img.dtype);
IniLSF[30:80,30:80]= -1;
IniLSF=-IniLSF;
Image = cv2.cvtColor(Image,cv2.COLOR_BGR2RGB);
plt.figure(1);
DrawContour(IniLSF,'r',2); # Draw contour
mu = 1;
nu = 0.003 * 255 * 255;
num = 50;
epison = 1;
step = 0.1;
lambda1=lambda2=1;
LSF=IniLSF;
for i in range(1,num):
LSF = RSF(LSF, img, mu, nu, epison,step,lambda1,lambda2,kernel);
if i % 5 == 0:
DrawContour(LSF,'r',2);