working with raw image files

MRAB python at mrabarnett.plus.com
Mon Jun 13 16:36:01 EDT 2011


On 13/06/2011 21:20, Wanderer wrote:
> On Jun 13, 4:08 pm, Wanderer<wande... at dialup4less.com>  wrote:
>> On Jun 13, 2:18 pm, kafooster<dmoze... at gmail.com>  wrote:
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>> I am working on some medical image data, and I try to look into
>>> specific slice of   3d  *.raw image. I know voxels are 16 bit int, and
>>> dimensions are 352*470*96. I checked it in some pro medical image
>>> viewer, it is alright. However, with the code I use, I display just
>>> white noise image.(but worked well for other, 8bit raw image).
>>>   Also, printed size is half the original size, like it was 8 bit. I
>>> read some documentations on PIL, numpy etc but I think I just do not
>>> understand something.
>>> I open image data set, I change it to array, give it dimensions,
>>> dtype, and change it to image, right? I think there is something
>>> messed up in 'binvalues', but dont really know how to write it in
>>> simpler way.
>>
>>> P.S.1
>>> If I want to change data type to e.g. 8 bit uint, is it just change in
>>> scipy.array? or it requires some more changes
>>
>>> P.S.2
>>> Lets say I have my array of image data and want to save it to *.raw
>>> data set. is it array.tofile?
>>
>>> Here is my code
>>
>>> ############################
>>
>>> import scipy as sc
>>> from pylab import *
>>> import array
>>> import Image
>>
>>> fileobj = open("hand.raw", 'rb')
>>> binvalues = array.array('B')
>>> binvalues.read (fileobj, 352*470*96)
>>> data1 = sc.array(binvalues, dtype=sc.int16)
>>> data2 = sc.reshape(data1, (352,470,96))
>>> fileobj.close()
>>> print data2.size , data2.dtype
>>
>>> im = Image.fromarray(data2[:,:,40])
>>> im.show()
>>
>> Try using numpy arrays.
>>
>> import numpy as np
>> import Image
>>
>> image1 = Image.open("hand.raw", 'rb')
>> imshape = image1.size
>> npArray = np.array(image1.getdata())
>> npArray.shape = imshape
>>
>> im = Image.fromarray(npArray)
>> im.show()
>
> P.S.1
> If you want to change data size from a data buffer, you could use
> something like.
>
>   image1 = np.frombuffer(Buffer, np.uint16)
>
> P.S.2
> I'm not sure what a *.raw file is but if Image has support for it you
> just need to include the extension.
>
>   im = Image.fromarray(npArray)
>   im.save(self.resultDir + "\\" + imageName + '.tif')
>
A .raw file doesn't contain a header, just the pixel values.



More information about the Python-list mailing list