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Gabor.py
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Gabor.py
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# #!/usr/bin/python
# -*- coding: utf-8 -*-
from PIL import Image
from numpy import *
Direction_Block = [(-4,0),(-2,0),(-1,0),(0,0),(1,0),(2,0),(4,0),
(-4,-2),(-2,-1),(-1,-1),(0,0),(1,1),(2,1),(4,2),
(-4,-4),(-2,-2),(-1,-1),(0,0),(1,1),(2,2),(4,4),
(-2,-4),(-1,-2),(0,-1),(0,0),(0,1),(1,2),(2,4),
(0,-4),(0,-2),(0,-1),(0,0),(0,1),(0,2),(0,4),
(-4,2),(-2,1),(-1,1),(0,0),(1,-1),(2,-1),(4,-2),
(-4,4),(-2,2),(-1,1),(0,0),(1,-1),(2,-2),(4,-4),
(-2,4),(-1,2),(0,1),(0,0),(0,-1),(1,-2),(2,-4)]
Hw = [1,1,1,1,1,1,1] # Gabor 平行模板
Vw = [-3,-1,3,9,3,-1,-3] # Gabor 垂直模板
Wh = [2,2,3,4,3,2,3] # 智能二值化水平权值
Wv = [1,1,1,1,1,1,1] # 智能二值化垂直权值
def Direction_Index(tuple) :
if tuple == (255,0,255) :
return 0 # 0度
elif tuple == (255,255,0) :
return 1
elif tuple == (0,0,255) :
return 2
elif tuple == (0,255,0) :
return 3
elif tuple == (255,0,0) :
return 4
elif tuple == (0,255,255) :
return 5
elif tuple == (255,255,255) :
return 6
elif tuple == (0,0,0) :
return 7 # 157.5度
def Orientation(image) :
width = image.size[0]
height = image.size[1]
iOrient = Image.new("RGB",(width,height),'white')
for y in range(5,height-4) :
for x in range(5,width-4) :
aver_grey_d1 = sum([image.getpixel((x,y)),image.getpixel((x,y-4)),image.getpixel((x,y-2)),image.getpixel((x,y+2)),image.getpixel((x,y+4))]) / 5 # 90度
aver_grey_d2 = sum([image.getpixel((x,y)),image.getpixel((x-2,y-4)),image.getpixel((x-1,y-2)),image.getpixel((x+1,y+2)),image.getpixel((x+2,y+4))]) / 5 # 67.5度
aver_grey_d3 = sum([image.getpixel((x,y)),image.getpixel((x-4,y-4)),image.getpixel((x-2,y-2)),image.getpixel((x+2,y+2)),image.getpixel((x+4,y+4))]) / 5 # 45度
aver_grey_d4 = sum([image.getpixel((x,y)),image.getpixel((x-4,y-2)),image.getpixel((x-2,y-1)),image.getpixel((x+2,y+1)),image.getpixel((x+4,y+2))]) / 5 # 22.5度
aver_grey_d5 = sum([image.getpixel((x,y)),image.getpixel((x-4,y)),image.getpixel((x-2,y)),image.getpixel((x+2,y)),image.getpixel((x+4,y))]) / 5 # 0 度
aver_grey_d6 = sum([image.getpixel((x,y)),image.getpixel((x+4,y-2)),image.getpixel((x+2,y-1)),image.getpixel((x-2,y+1)),image.getpixel((x-4,y+2))]) / 5 # 112.5度
aver_grey_d7 = sum([image.getpixel((x,y)),image.getpixel((x+4,y-4)),image.getpixel((x+2,y-2)),image.getpixel((x-2,y+2)),image.getpixel((x-4,y+4))]) / 5 # 135度
aver_grey_d8 = sum([image.getpixel((x,y)),image.getpixel((x+2,y-4)),image.getpixel((x+1,y-2)),image.getpixel((x-1,y+2)),image.getpixel((x-2,y+4))]) / 5 # 157.5度
aver_diff1 = abs(aver_grey_d1-aver_grey_d5) # 90度和0度
aver_diff2 = abs(aver_grey_d2-aver_grey_d8) # 67.5度和157.5度
aver_diff3 = abs(aver_grey_d3-aver_grey_d7) # 45度和135度
aver_diff4 = abs(aver_grey_d4-aver_grey_d6) # 22.5度和112.5度
list_diff = [aver_diff1,aver_diff2,aver_diff3,aver_diff4]
Max_Diff = max(list_diff)
perhap_direction = list_diff.index(Max_Diff)
if perhap_direction == 0 :
if abs(aver_grey_d1-image.getpixel((x,y))) < abs(aver_grey_d5-image.getpixel((x,y))) :
iOrient.putpixel((x,y),(255,0,0)) # 90度
else :
iOrient.putpixel((x,y),(255,0,255)) # 0度
elif perhap_direction == 1 :
if abs(aver_grey_d2-image.getpixel((x,y))) < abs(aver_grey_d8-image.getpixel((x,y))) :
iOrient.putpixel((x,y),(0,255,0)) #67.5度
else :
iOrient.putpixel((x,y),(0,0,0)) #157.5度
elif perhap_direction == 2 :
if abs(aver_grey_d3-image.getpixel((x,y))) < abs(aver_grey_d7-image.getpixel((x,y))) :
iOrient.putpixel((x,y),(0,0,255)) # 45度
else :
iOrient.putpixel((x,y),(255,255,255)) #135度
elif perhap_direction == 3 :
if abs(aver_grey_d4-image.getpixel((x,y))) < abs(aver_grey_d6-image.getpixel((x,y))) :
iOrient.putpixel((x,y),(255,255,0)) #22.5度
else :
iOrient.putpixel((x,y),(0,255,255)) #112.5度
iOrient_succession = Image.new("RGB",(width,height),"white")
for j in range(5,height-4) :
for i in range(5,width-4) :
a = [0] * 8
for n in range(-4,4) :
for m in range(-4,4) :
if iOrient.getpixel((i-m,j-n)) == (255,0,255) :
a[0] += 1
elif iOrient.getpixel((i-m,j-n)) == (255,255,0) :
a[1] += 1
elif iOrient.getpixel((i-m,j-n)) == (0,0,255) :
a[2] += 1
elif iOrient.getpixel((i-m,j-n)) == (0,255,0) :
a[3] += 1
elif iOrient.getpixel((i-m,j-n)) == (255,0,0) :
a[4] += 1
elif iOrient.getpixel((i-m,j-n)) == (0,255,255) :
a[5] += 1
elif iOrient.getpixel((i-m,j-n)) == (255,255,255) :
a[6] += 1
elif iOrient.getpixel((i-m,j-n)) == (0,0,0) :
a[7] += 1
Max = max(a)
dot_direction = a.index(Max)
if dot_direction == 0 :
iOrient_succession.putpixel((i,j),(255,0,255))
elif dot_direction == 1 :
iOrient_succession.putpixel((i,j),(255,255,0))
elif dot_direction == 2 :
iOrient_succession.putpixel((i,j),(0,0,255))
elif dot_direction == 3 :
iOrient_succession.putpixel((i,j),(0,255,0))
elif dot_direction == 4 :
iOrient_succession.putpixel((i,j),(255,0,0))
elif dot_direction == 5 :
iOrient_succession.putpixel((i,j),(0,255,255))
elif dot_direction == 6 :
iOrient_succession.putpixel((i,j),(255,255,255))
elif dot_direction == 7 :
iOrient_succession.putpixel((i,j),(0,0,0))
return iOrient_succession
# Gabor 增强 成功！
def Gabor_Enhance(image,image_Dir) :
width = image.size[0]
height = image.size[1]
iEnhance = Image.new("L",(width,height),255)
Direction_Block_Width = 7
for y in range(height) :
for x in range(width) :
h_tuple = image_Dir.getpixel((x,y))
d = Direction_Index(h_tuple)
sum = 0
hsum = 0
for k in range(7) :
if (y + Direction_Block[d * Direction_Block_Width + k][1] < 0 or y + Direction_Block[d * Direction_Block_Width + k][1] >= height
or x + Direction_Block[d * Direction_Block_Width + k][0] < 0 or x + Direction_Block[d * Direction_Block_Width + k][0] >= width) :
continue
else :
sum += Hw[k] * image.getpixel((x + Direction_Block[d * Direction_Block_Width + k][0],y + Direction_Block[d * Direction_Block_Width + k][1]))
hsum += Hw[k]
if (hsum != 0) :
iEnhance.putpixel((x,y),uint8(sum/hsum))
else :
iEnhance.putpixel((x,y),255)
for y in range(height) :
for x in range(width) :
v_tuple = image_Dir.getpixel((x,y))
d = (Direction_Index(v_tuple) + 4) % 8
sum = 0
vsum = 0
for k in range(7) :
if(y + Direction_Block[d * Direction_Block_Width + k][1] < 0 or y + Direction_Block[d * Direction_Block_Width + k][1] >= height
or x + Direction_Block[d * Direction_Block_Width + k][0] < 0 or x + Direction_Block[d * Direction_Block_Width + k][0] >= width) :
continue
else :
sum += Vw[k] * image.getpixel((x + Direction_Block[d * Direction_Block_Width + k][0],y + Direction_Block[d * Direction_Block_Width + k][1]))
vsum += Vw[k]
if vsum > 0 :
sum /= vsum
if sum >255 :
iEnhance.putpixel((x,y),255)
elif sum < 0 :
iEnhance.putpixel((x,y),0)
else :
iEnhance.putpixel((x,y),uint8(sum))
else :
iEnhance.putpixel((x,y),255)
return iEnhance
# 智能二值化 噪声比较多
def AI_Binary(image,image_Dir) :
width = image.size[0]
height = image.size[1]
iBinary = Image.new("L",(width,height),255)
Direction_Block_Width = 7
avrH = 0
avrV = 0
for y in range(height) :
for x in range(width) :
if image.getpixel((x,y)) < 4 :
iBinary.putpixel((x,y),0)
continue
h_tuple = image_Dir.getpixel((x,y))
d = Direction_Index(h_tuple)
sum = 0
hsum = 0
for k in range(7) :
if (y + Direction_Block[d * Direction_Block_Width + k][1] < 0 or y + Direction_Block[d * Direction_Block_Width + k][1] >= height
or x + Direction_Block[d * Direction_Block_Width + k][0] < 0 or x + Direction_Block[d * Direction_Block_Width + k][0] >= width) :
continue
else :
sum += Wh[k] * image.getpixel((x + Direction_Block[d * Direction_Block_Width + k][0],y + Direction_Block[d * Direction_Block_Width + k][1]))
hsum += Wh[k]
if hsum != 0 :
avrH = uint8(sum / hsum)
else :
avrH = 255
d = (d + 4) % 8
sum = 0
vsum = 0
for k in range(7) :
if (y + Direction_Block[d * Direction_Block_Width + k][1] < 0 or y + Direction_Block[d * Direction_Block_Width + k][1] >= height
or x + Direction_Block[d * Direction_Block_Width + k][0] < 0 or x + Direction_Block[d * Direction_Block_Width + k][0] >= width) :
continue
else :
sum += Wv[k] * image.getpixel((x + Direction_Block[d * Direction_Block_Width + k][0],y + Direction_Block[d * Direction_Block_Width + k][1]))
vsum += Wv[k]
if vsum != 0 :
avrV = sum / vsum
if avrV > 255 :
avrV = 255
elif avrV < 0 :
avrV = 0
else :
avrV = uint8(avrV)
else :
avrV = 255
if avrH < avrV :
iBinary.putpixel((x,y),0)
else :
iBinary.putpixel((x,y),255)
return iBinary
def Denoising(image) :
width = image.size[0]
height = image.size[1]
a = [-1,0,1]
iDenoising = Image.new("L",(width,height),255)
for y in range(height - 1) :
for x in range(width - 1) :
if image.getpixel((x,y)) == 255 :
continue
else :
num = 0
for n in range(3) :
for m in range(3) :
if n != 0 and m != 0 :
if image.getpixel((x+a[m],y+a[n])) == image.getpixel((x,y)) :
num += 1
else :
continue
if num < 3 :
iDenoising.putpixel((x,y),255-image.getpixel((x,y)))
else :
iDenoising.putpixel((x,y),image.getpixel((x,y)))
return iDenoising
'''
im1 = Image.open("D:\\Python27\\picture\\segment_1.bmp")
im2 = Image.open("D:\\Python27\\picture\\Orient.bmp")
iEnhance = Gabor_Enhance(im1,im2)
iEnhance.save("D:\\Python27\\picture\\Enhance.bmp","BMP")
im3 = Image.open("D:\\Python27\\picture\\Enhance.bmp")
iBinary = AI_Binary(im3,im2)
iBinary.save("D:\\Python27\\picture\\Binary.bmp","BMP")
'''
iBinary = Image.open("D:\\Python27\\picture\\Binary.bmp")
iDenoising = Denoising(iBinary)
iDenoising.save("D:\\Python27\\picture\\Denoising.bmp","BMP")