Image processing on grayscale medical image2019 Community Moderator ElectionHow do I resize an image using PIL and maintain its aspect ratio?How to read/process command line arguments?Display image as grayscale using matplotlibNormalize histogram (brightness and contrast) of a set of images using Python Image Library (PIL)Python Image Library fails with message “decoder JPEG not available” - PILSave plot to image file instead of displaying it using MatplotlibRemoving the background noise of a captcha image by replicating the chopping filter of TesserCapInvert Y-axis on image on python before plotAmplifying the difference of luminance between pixels of color images in Python OpenCV?data structures to recognize particular elements / shapes with similar patterns on the image in python
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Image processing on grayscale medical image
2019 Community Moderator ElectionHow do I resize an image using PIL and maintain its aspect ratio?How to read/process command line arguments?Display image as grayscale using matplotlibNormalize histogram (brightness and contrast) of a set of images using Python Image Library (PIL)Python Image Library fails with message “decoder JPEG not available” - PILSave plot to image file instead of displaying it using MatplotlibRemoving the background noise of a captcha image by replicating the chopping filter of TesserCapInvert Y-axis on image on python before plotAmplifying the difference of luminance between pixels of color images in Python OpenCV?data structures to recognize particular elements / shapes with similar patterns on the image in python
I have been looking into PIL to perform image processing on grayscale medical images (on the breasts) so the microcalcification clusters can be seen more vividly. So far here are my current findings:
(1) Original
(2) With invert, auto contrast and posterise applied
(3) The yellow circled areas are the location of the clusters
So I am wondering, is there a better method of image processing for this kind of images to highlight the calcification clusters? Since I will need to use them for generating graphs to show their distributional patterns later on. Any suggestions would be much appreciated.
python python-imaging-library
asked Mar 6 at 18:53
Yu.LYu.L
132
add a comment |
I have been looking into PIL to perform image processing on grayscale medical images (on the breasts) so the microcalcification clusters can be seen more vividly. So far here are my current findings:
(1) Original
(2) With invert, auto contrast and posterise applied
(3) The yellow circled areas are the location of the clusters
So I am wondering, is there a better method of image processing for this kind of images to highlight the calcification clusters? Since I will need to use them for generating graphs to show their distributional patterns later on. Any suggestions would be much appreciated.
python python-imaging-library
asked Mar 6 at 18:53
Yu.LYu.L
132
add a comment |
I have been looking into PIL to perform image processing on grayscale medical images (on the breasts) so the microcalcification clusters can be seen more vividly. So far here are my current findings:
(1) Original
(2) With invert, auto contrast and posterise applied
(3) The yellow circled areas are the location of the clusters
So I am wondering, is there a better method of image processing for this kind of images to highlight the calcification clusters? Since I will need to use them for generating graphs to show their distributional patterns later on. Any suggestions would be much appreciated.
python python-imaging-library
asked Mar 6 at 18:53
Yu.LYu.L
132
I have been looking into PIL to perform image processing on grayscale medical images (on the breasts) so the microcalcification clusters can be seen more vividly. So far here are my current findings:
(1) Original
(2) With invert, auto contrast and posterise applied
(3) The yellow circled areas are the location of the clusters
So I am wondering, is there a better method of image processing for this kind of images to highlight the calcification clusters? Since I will need to use them for generating graphs to show their distributional patterns later on. Any suggestions would be much appreciated.
python python-imaging-library
python python-imaging-library
asked Mar 6 at 18:53
Yu.LYu.L
132
asked Mar 6 at 18:53
Yu.LYu.L
132
asked Mar 6 at 18:53
Yu.LYu.L
132
asked Mar 6 at 18:53
Yu.LYu.L
132
asked Mar 6 at 18:53
Yu.LYu.L
132
132
add a comment |
add a comment |
1 Answer
1
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oldest
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I'd have a look at scikit-image. It's a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.
https://scikit-image.org/
http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html
answered Mar 6 at 19:31
SamSam
917
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
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active
oldest
votes
I'd have a look at scikit-image. It's a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.
https://scikit-image.org/
http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html
answered Mar 6 at 19:31
SamSam
917
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
add a comment |
I'd have a look at scikit-image. It's a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.
https://scikit-image.org/
http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html
answered Mar 6 at 19:31
SamSam
917
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
add a comment |
I'd have a look at scikit-image. It's a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.
https://scikit-image.org/
http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html
answered Mar 6 at 19:31
SamSam
917
I'd have a look at scikit-image. It's a great library for image processing of this kind. The first link is to the documentation, the second is to a specific page about adaptive histogram equalization that might be useful for you.
https://scikit-image.org/
http://scikit-image.org/docs/dev/auto_examples/color_exposure/plot_equalize.html
answered Mar 6 at 19:31
SamSam
917
answered Mar 6 at 19:31
SamSam
917
answered Mar 6 at 19:31
SamSam
917
answered Mar 6 at 19:31
SamSam
917
917
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
add a comment |
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
Thank you for your suggestion, I will look into it now :)
– Yu.L
Mar 6 at 20:57
add a comment |
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