Problem calculating the mean after application of log transform

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Respected sir/ madam
                                 I have recently started coding for my PG
project in python imaging library. I encountered a problem of calculating
mean of a gray scale image after taking the log transform on the image. I
am putting the code below.

Import Image
import ImageOps
from numpy import *

im = Image.open('File name')
im_gray = ImageOps.grayscale(imj)
im_gray_mean = meanj(im_gray)

Now the value in im_gray_mean is showing to be -inf. I want this to be some
valid numeric data. Hope to hear from you at the earliest.

Yours sincerely
T.V.Chandra shekar

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Respected sir/ madam<br>=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=
=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0=A0 I have recently started codin=
g for my PG project in python imaging library. I encountered a problem of c=
alculating mean of a gray scale image after taking the log transform on the=
 image. I am putting the code below.<br>
<br>Import Image<br>import ImageOps<br>from numpy import *<br><br>im =3D Im=
age.open(&#39;File name&#39;)<br>im_gray =3D ImageOps.grayscale(imj)<br>im_=
gray_mean =3D meanj(im_gray)<br><br>Now the value in im_gray_mean is showin=
g to be -inf. I want this to be some valid numeric data. Hope to hear from =
you at the earliest.<br>
<br>Yours sincerely<br>T.V.Chandra shekar<br>

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