图像处理的Python问题，怎么解决

Python012

图像处理的Python问题，怎么解决,第1张

imtools.py里面也要有numpy 的引用才对

def histeq(im,nbr_bins=256):

"""对一幅灰度图像进行直方图均衡化"""

#计算图像的直方图

imhist,bins = histogram(im.flatten(),nbr_bins,normed=True)

cdf = imhist.cumsum() #累计分布函数

cdf = 255 * cdf / cdf[-1] #归一化

#使用累计分布函数的线性插值，计算新的像素

im2 = interp(im.flatten(),bins[:-1],cdf)

return im2.reshape(im.shape),cdf

以上代码我定义在imtools.py文件里并且放在了python2.7里

然后我在num.py里引用他

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from PIL import Image

from pylab import *

from numpy import *

import imtools

im= array(Image.open('E:\\daima\\pydaima\\shijue\\tupian1\\gang2.jpg').convert('L'))

im2,cdf =imtools.histeq(im)

出现以下错误：

Traceback (most recent call last):

File "<pyshell#56>", line 1, in <module>

a=imtools.histeq(im)

File "E:\daima\pydaima\shijue\imtools.py", line 32, in histeq

NameError: global name 'histogram' is not defined

用一下代码解决：

import numpy as np

import matplotlib.pyplot as plt

from scipy.interpolate import interp1d

import scipy.stats as st

sim = st.gamma(1,loc=0,scale=0.8) # Simulated

obs = st.gamma(2,loc=0,scale=0.7) # Observed

x = np.linspace(0,4,1000)

simpdf = sim.pdf(x)

obspdf = obs.pdf(x)

plt.plot(x,simpdf,label='Simulated')

plt.plot(x,obspdf,'r--',label='Observed')

plt.title('PDF of Observed and Simulated Precipitation')

plt.legend(loc='best')

plt.show()

plt.figure(1)

simcdf = sim.cdf(x)

obscdf = obs.cdf(x)

plt.plot(x,simcdf,label='Simulated')

plt.plot(x,obscdf,'r--',label='Observed')

plt.title('CDF of Observed and Simulated Precipitation')

plt.legend(loc='best')

plt.show()

# Inverse CDF

invcdf = interp1d(obscdf,x)

transfer_func = invcdf(simcdf)

plt.figure(2)

plt.plot(transfer_func,x,'g-')

plt.show()