Python实现投影法分割图像示例(一)_Python

Python实现投影法分割图像示例(一)

2020-04-17 10:02TIME_LEAF Python

今天小编就为大家分享一篇Python实现投影法分割图像示例，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

投影法多用于图像的阈值分割。闲话不多说，现用Python实现。

上代码。

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									import cv2

									import numpy

									img = cv2.imread('D:/0.jpg', cv2.COLOR_BGR2GRAY)

									height, width = img.shape[:2]

									#resized = cv2.resize(img, (3*width,3*height), interpolation=cv2.INTER_CUBIC)

									#二值化

									(_, thresh) = cv2.threshold(img, 150, 255, cv2.THRESH_BINARY) 

									#cv2.imshow('thresh', thresh)

									#扩大黑色面积，使效果更明显

									kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (10, 10))#形态学处理，定义矩形结构

									closed = cv2.erode(thresh, None, iterations = 5)

									cv2.imshow('erode',closed)

									height, width = closed.shape[:2]

									v = [0]*width

									z = [0]*height

									a = 0

									#垂直投影

									#统计并存储每一列的黑点数

									for x in range(0, width):    

									 for y in range(0, height):

									  if closed[y,x][0] == 0:

									   a = a + 1

									  else :

									   continue

									 v[x] = a

									 a = 0

									l = len(v)

									#print l

									#print width

									#创建空白图片，绘制垂直投影图

									emptyImage = numpy.zeros((height, width, 3), numpy.uint8) 

									for x in range(0,width):

									 for y in range(0, v[x]):

									  b = (255,255,255)

									  emptyImage[y,x] = b

									cv2.imshow('chuizhi', emptyImage)

									#水平投影

									#统计每一行的黑点数

									a = 0

									emptyImage1 = numpy.zeros((height, width, 3), numpy.uint8) 

									for y in range(0, height):

									 for x in range(0, width):

									  if closed[y,x][0] == 0:

									   a = a + 1

									  else :

									   continue

									 z[y] = a

									 a = 0

									l = len(z)

									#print l

									#print height

									#绘制水平投影图

									for y in range(0,height):

									 for x in range(0, z[y]):

									  b = (255,255,255)

									  emptyImage1[y,x] = b

									cv2.imshow('shuipin', emptyImage1)

									cv2.waitKey(0)