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how many channels does ultrasound images have?
Images Score Regression only regresses to the average of the target valuesHow to properly rotate image and labels for semantic segmentation data augmentation in Tensorflow?convert 16-Bit to 8-Bit imagesImages similarity using SIFT and AnnoyHow to determine frame rates to detect for video classificationHow to filter out babies from image datasetBasis vectors for categorical imagesIs it good in general to subtract background from a sequence of images for learning?How to determine key frames in a video for video classification?How can I detect blocks of text from scanned document images
$begingroup$
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:
anyone have any idea about that?
image-preprocessing
edited yesterday
Alireza Zolanvari
19114
asked 2 days ago
honar.cshonar.cs
9612
$endgroup$
add a comment |
$begingroup$
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:
anyone have any idea about that?
image-preprocessing
edited yesterday
Alireza Zolanvari
19114
asked 2 days ago
honar.cshonar.cs
9612
$endgroup$
$begingroup$
what's the format of the image?
$endgroup$
– Alireza Zolanvari
2 days ago
add a comment |
$begingroup$
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:
anyone have any idea about that?
image-preprocessing
edited yesterday
Alireza Zolanvari
19114
asked 2 days ago
honar.cshonar.cs
9612
$endgroup$
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:
anyone have any idea about that?
image-preprocessing
image-preprocessing
edited yesterday
Alireza Zolanvari
19114
asked 2 days ago
honar.cshonar.cs
9612
edited yesterday
Alireza Zolanvari
19114
asked 2 days ago
honar.cshonar.cs
9612
edited yesterday
Alireza Zolanvari
19114
edited yesterday
Alireza Zolanvari
19114
edited yesterday
Alireza Zolanvari
19114
19114
asked 2 days ago
honar.cshonar.cs
9612
asked 2 days ago
honar.cshonar.cs
9612
asked 2 days ago
honar.cshonar.cs
9612
9612
$begingroup$
what's the format of the image?
$endgroup$
– Alireza Zolanvari
2 days ago
add a comment |
$begingroup$
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
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
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.
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
$endgroup$
$begingroup$
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
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
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.
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
$endgroup$
$begingroup$
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
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
add a comment |
$begingroup$
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.
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
$endgroup$
$begingroup$
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
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
add a comment |
$begingroup$
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.
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
$endgroup$
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.
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
answered 2 days ago
Brian SpieringBrian Spiering
4,1281029
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
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
add a comment |
$begingroup$
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
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
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
$begingroup$
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
2 days ago
$begingroup$
simply spoken: gray == 1 channel, everything else 3
$endgroup$
– Andreas Look
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
$begingroup$
There is high-channel ultrasound that which can have 16, 48, 64, or 256 channels.
$endgroup$
– Brian Spiering
2 days ago
add a comment |
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$begingroup$
what's the format of the image?
$endgroup$
– Alireza Zolanvari
2 days ago