how many channels does ultrasound images have?












0












$begingroup$


I have some ultrasound images, when I read them using cv.imread and check their shape or check them with ndim it shows 3 channels:



im = cv.imread(data_path+'a1.jpg')

print(im.shape)

im = np.array(im)

print(im.ndim)



the output is:

(154, 139, 3)

3


but when I open them in photoshop and check their mode in Image>Mode it shows grayscale with 8 bit, also in windows properties> detail tab shows 8 bit:
enter image description here
anyone have any idea about that?






image-preprocessing







share|improve this question











$endgroup$












  • $begingroup$
    what's the format of the image?
    $endgroup$
    – Alireza Zolanvari
    2 days ago
















0












$begingroup$


I have some ultrasound images, when I read them using cv.imread and check their shape or check them with ndim it shows 3 channels:



im = cv.imread(data_path+'a1.jpg')

print(im.shape)

im = np.array(im)

print(im.ndim)



the output is:

(154, 139, 3)

3


but when I open them in photoshop and check their mode in Image>Mode it shows grayscale with 8 bit, also in windows properties> detail tab shows 8 bit:
enter image description here
anyone have any idea about that?






image-preprocessing







share|improve this question











$endgroup$












  • $begingroup$
    what's the format of the image?
    $endgroup$
    – Alireza Zolanvari
    2 days ago














0












0








0





$begingroup$


I have some ultrasound images, when I read them using cv.imread and check their shape or check them with ndim it shows 3 channels:



im = cv.imread(data_path+'a1.jpg')

print(im.shape)

im = np.array(im)

print(im.ndim)



the output is:

(154, 139, 3)

3


but when I open them in photoshop and check their mode in Image>Mode it shows grayscale with 8 bit, also in windows properties> detail tab shows 8 bit:
enter image description here
anyone have any idea about that?






image-preprocessing







share|improve this question











$endgroup$




I have some ultrasound images, when I read them using cv.imread and check their shape or check them with ndim it shows 3 channels:



im = cv.imread(data_path+'a1.jpg')

print(im.shape)

im = np.array(im)

print(im.ndim)



the output is:

(154, 139, 3)

3


but when I open them in photoshop and check their mode in Image>Mode it shows grayscale with 8 bit, also in windows properties> detail tab shows 8 bit:
enter image description here
anyone have any idea about that?






image-preprocessing




image-preprocessing






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited yesterday









Alireza Zolanvari

19114




19114










asked 2 days ago









honar.cshonar.cs

9612




9612












  • $begingroup$
    what's the format of the image?
    $endgroup$
    – Alireza Zolanvari
    2 days ago


















  • $begingroup$
    what's the format of the image?
    $endgroup$
    – Alireza Zolanvari
    2 days ago
















$begingroup$
what's the format of the image?
$endgroup$
– Alireza Zolanvari
2 days ago




$begingroup$
what's the format of the image?
$endgroup$
– Alireza Zolanvari
2 days ago










1 Answer
1






active

oldest

votes


















1












$begingroup$

What is happening has nothing to do with the type of image (ultrasound in this case). It has to do with the type of file (JPEG in this case). By default, cv.imread assumes it is a 3-channel color image. You can specify grayscale when calling cv.imread if appropriate. The last dimension (the color dimension) in the im object could be empty.



There is also depth info (8 bits per channel). The default is 8 bit, you could specify 16 bit or 32 bit if apporiate.



Do not rely on function or software defaults. It is better to work from first principles of the raw data.






share|improve this answer









$endgroup$













  • $begingroup$
    How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
    $endgroup$
    – honar.cs
    2 days ago










  • $begingroup$
    simply spoken: gray == 1 channel, everything else 3
    $endgroup$
    – Andreas Look
    yesterday










  • $begingroup$
    There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
    $endgroup$
    – Brian Spiering
    yesterday













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$begingroup$

What is happening has nothing to do with the type of image (ultrasound in this case). It has to do with the type of file (JPEG in this case). By default, cv.imread assumes it is a 3-channel color image. You can specify grayscale when calling cv.imread if appropriate. The last dimension (the color dimension) in the im object could be empty.



There is also depth info (8 bits per channel). The default is 8 bit, you could specify 16 bit or 32 bit if apporiate.



Do not rely on function or software defaults. It is better to work from first principles of the raw data.






share|improve this answer









$endgroup$













  • $begingroup$
    How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
    $endgroup$
    – honar.cs
    2 days ago










  • $begingroup$
    simply spoken: gray == 1 channel, everything else 3
    $endgroup$
    – Andreas Look
    yesterday










  • $begingroup$
    There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
    $endgroup$
    – Brian Spiering
    yesterday


















1












$begingroup$

What is happening has nothing to do with the type of image (ultrasound in this case). It has to do with the type of file (JPEG in this case). By default, cv.imread assumes it is a 3-channel color image. You can specify grayscale when calling cv.imread if appropriate. The last dimension (the color dimension) in the im object could be empty.



There is also depth info (8 bits per channel). The default is 8 bit, you could specify 16 bit or 32 bit if apporiate.



Do not rely on function or software defaults. It is better to work from first principles of the raw data.






share|improve this answer









$endgroup$













  • $begingroup$
    How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
    $endgroup$
    – honar.cs
    2 days ago










  • $begingroup$
    simply spoken: gray == 1 channel, everything else 3
    $endgroup$
    – Andreas Look
    yesterday










  • $begingroup$
    There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
    $endgroup$
    – Brian Spiering
    yesterday
















1












1








1





$begingroup$

What is happening has nothing to do with the type of image (ultrasound in this case). It has to do with the type of file (JPEG in this case). By default, cv.imread assumes it is a 3-channel color image. You can specify grayscale when calling cv.imread if appropriate. The last dimension (the color dimension) in the im object could be empty.



There is also depth info (8 bits per channel). The default is 8 bit, you could specify 16 bit or 32 bit if apporiate.



Do not rely on function or software defaults. It is better to work from first principles of the raw data.






share|improve this answer









$endgroup$



What is happening has nothing to do with the type of image (ultrasound in this case). It has to do with the type of file (JPEG in this case). By default, cv.imread assumes it is a 3-channel color image. You can specify grayscale when calling cv.imread if appropriate. The last dimension (the color dimension) in the im object could be empty.



There is also depth info (8 bits per channel). The default is 8 bit, you could specify 16 bit or 32 bit if apporiate.



Do not rely on function or software defaults. It is better to work from first principles of the raw data.







share|improve this answer












share|improve this answer



share|improve this answer










answered 2 days ago









Brian SpieringBrian Spiering

4,1281029




4,1281029












  • $begingroup$
    How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
    $endgroup$
    – honar.cs
    2 days ago










  • $begingroup$
    simply spoken: gray == 1 channel, everything else 3
    $endgroup$
    – Andreas Look
    yesterday










  • $begingroup$
    There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
    $endgroup$
    – Brian Spiering
    yesterday




















  • $begingroup$
    How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
    $endgroup$
    – honar.cs
    2 days ago










  • $begingroup$
    simply spoken: gray == 1 channel, everything else 3
    $endgroup$
    – Andreas Look
    yesterday










  • $begingroup$
    There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
    $endgroup$
    – Brian Spiering
    yesterday


















$begingroup$
How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
$endgroup$
– honar.cs
2 days ago




$begingroup$
How can I check if my image is 3 channel or 1 channel? Is there any function to do that?
$endgroup$
– honar.cs
2 days ago












$begingroup$
simply spoken: gray == 1 channel, everything else 3
$endgroup$
– Andreas Look
yesterday




$begingroup$
simply spoken: gray == 1 channel, everything else 3
$endgroup$
– Andreas Look
yesterday












$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
yesterday






$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
yesterday




















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