High Intensity problem in medical imaging: image processing or machine learning solution
0
During image clicking, some of the medical images contains very high intensity, which is adding noise to the image, due to which information in the image is lost somewhere. Is there any standardised process to remove the high intensity for varied set of images or any machine learning techniques to be applied. I suppose the problem statement could be very common.
Please guide me to the appropriate resource.
python image-processing
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
add a comment |
0
During image clicking, some of the medical images contains very high intensity, which is adding noise to the image, due to which information in the image is lost somewhere. Is there any standardised process to remove the high intensity for varied set of images or any machine learning techniques to be applied. I suppose the problem statement could be very common.
Please guide me to the appropriate resource.
python image-processing
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
1
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
1
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46
add a comment |
0
0
0
During image clicking, some of the medical images contains very high intensity, which is adding noise to the image, due to which information in the image is lost somewhere. Is there any standardised process to remove the high intensity for varied set of images or any machine learning techniques to be applied. I suppose the problem statement could be very common.
Please guide me to the appropriate resource.
python image-processing
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
During image clicking, some of the medical images contains very high intensity, which is adding noise to the image, due to which information in the image is lost somewhere. Is there any standardised process to remove the high intensity for varied set of images or any machine learning techniques to be applied. I suppose the problem statement could be very common.
Please guide me to the appropriate resource.
python image-processing
python image-processing
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
edited Nov 20 '18 at 4:57
Richard
27.2k19109167
27.2k19109167
asked Nov 20 '18 at 4:42
LearnRLearnR
12
asked Nov 20 '18 at 4:42
LearnRLearnR
12
asked Nov 20 '18 at 4:42
LearnRLearnR
12
12
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
1
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
1
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46
add a comment |
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
1
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
1
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
1
1
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
1
1
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53386364%2fhigh-intensity-problem-in-medical-imaging-image-processing-or-machine-learning%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
draft saved
draft discarded
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
draft saved
draft discarded
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53386364%2fhigh-intensity-problem-in-medical-imaging-image-processing-or-machine-learning%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
I came across N4ITK resource for bias field correction in the case of MRI imaging, Will this technique work as well. Has anyone tried applying N4ITK/N3 on non . MRI images
– LearnR
Nov 20 '18 at 4:44
1
Could you please clarify your question further? What is "image clicking"? What type of images are we talking about? What is adding noise to the image, and why? The image you posted shows an overexposed image, where pixel values are clipped (or saturated). Is this what you refer to as noise?
– Cris Luengo
Nov 20 '18 at 4:57
Cris, you are right. The overexposure i.e high intensity is itself is a noise while taking images with specific camera. If the camera is at far distant, intensity problem fades away but information also lost when we take images from far distance.I want to reduce intensity from these images
– LearnR
Nov 20 '18 at 5:28
1
What type of camera is this? In any case, the image is overexposed, information is lost, you cannot recover that. You will have to fix the problem at the source: fix the illumination, and/or the exposure settings in the camera.
– Cris Luengo
Nov 20 '18 at 5:31
What Cris said. Other possibilities may be to add a neutral density filter over lens, reduce ISO/sensitivity of camera sensor, acquire in 10/12/14-bit raw format rather than JPEG for higher dynamic range - none of which may be possible with your setup, as I am guessing based on experience with SLR cameras.
– Mark Setchell
Nov 20 '18 at 7:46