Python实现投影法分割图像示例(二)

#根据水平投影值选定行分割点
inline = 1
start = 0
j = 0
for i in range(0,height):
  if inline == 1 and z[i] >= 150 : #从空白区进入文字区
    start = i #记录起始行分割点
    print i
    inline = 0
  elif (i - start > 3) and z[i] < 150 and inline == 0 : #从文字区进入空白区
    inline = 1
    hfg[j][0] = start - 2 #保存行分割位置
    hfg[j][1] = i + 2
    j = j + 1

  incol = 1
  start1 = 0
  j1 = 0
  z1 = hfg[p][0]
  z2 = hfg[p][1]
  for i1 in range(0,width):
    if incol == 1 and v[i1] >= 20 : #从空白区进入文字区
      start1 = i1 #记录起始列分割点
      incol = 0
    elif (i1 - start1 > 3) and v[i1] < 20 and incol == 0 : #从文字区进入空白区
      incol = 1
      lfg[j1][0] = start1 - 2  #保存列分割位置
      lfg[j1][1] = i1 + 2
      l1 = start1 - 2
      l2 = i1 + 2
      j1 = j1 + 1

import cv2
import numpy
img = cv2.imread('D:/0.jpg',cv2.COLOR_BGR2GRAY)
height, width = img.shape[:2]
#print height, width
#resized = cv2.resize(img, (2*width,2*height), interpolation=cv2.INTER_CUBIC)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
(_, thresh) = cv2.threshold(gray, 140, 255, cv2.THRESH_BINARY) 
#使文字增长成块
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (2, 2))#形态学处理，定义矩形结构
closed = cv2.erode(thresh, None, iterations = 7)
#cv2.imshow('erode',closed)
height, width = closed.shape[:2]
#print height, width
z = [0]*height
v = [0]*width
hfg = [[0 for col in range(2)] for row in range(height)]
lfg = [[0 for col in range(2)] for row in range(width)]
box = [0,0,0,0]
#水平投影
a = 0
emptyImage1 = numpy.zeros((height, width, 3), numpy.uint8) 
for y in range(0, height):
  for x in range(0, width):
    cp = closed[y,x]
    #if np.any(closed[y,x]):
    if cp == 0:
      a = a + 1
    else :
      continue
  z[y] = a
  #print z[y]
  a = 0
#根据水平投影值选定行分割点
inline = 1
start = 0
j = 0
for i in range(0,height):
  if inline == 1 and z[i] >= 150 : #从空白区进入文字区
    start = i #记录起始行分割点
    #print i
    inline = 0
  elif (i - start > 3) and z[i] < 150 and inline == 0 : #从文字区进入空白区
    inline = 1
    hfg[j][0] = start - 2 #保存行分割位置
    hfg[j][1] = i + 2
    j = j + 1
 
#对每一行垂直投影、分割
a = 0
for p in range(0, j):
  for x in range(0, width):
    for y in range(hfg[p][0], hfg[p][1]):
      cp1 = closed[y,x]
      if cp1 == 0:
        a = a + 1
      else :
        continue
    v[x] = a #保存每一列像素值
    a = 0
  #print width
  #垂直分割点
  incol = 1
  start1 = 0
  j1 = 0
  z1 = hfg[p][0]
  z2 = hfg[p][1]
  for i1 in range(0,width):
    if incol == 1 and v[i1] >= 20 : #从空白区进入文字区
      start1 = i1 #记录起始列分割点
      incol = 0
    elif (i1 - start1 > 3) and v[i1] < 20 and incol == 0 : #从文字区进入空白区
      incol = 1
      lfg[j1][0] = start1 - 2  #保存列分割位置
      lfg[j1][1] = i1 + 2
      l1 = start1 - 2
      l2 = i1 + 2
      j1 = j1 + 1
      cv2.rectangle(img, (l1, z1), (l2, z2), (255,0,0), 2)      
cv2.imshow('result', img)
cv2.waitKey(0)