Answers.Body: <p>I looked at some picture from DICOM, and it seems that these images usually don't have many local minima, so I guess that's why watershed isn't optimal.
  However, it seems that in DICOM the color gradients are often strong, so I suggest to use techniques that works well with gradients:</p>
  
  <ul>
  <li><p>Direct Gradient computations, either convolutional gradients or morphological gradients (selects shape of your different objects)</p></li>
  <li><p>Normalized Cut on Similarity Graphs</p></li>
  </ul>
  
  <p>If you want to know more about these you can read <a href="https://ai.stackexchange.com/q/7617/2444">this post</a>.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2018-10-04T07:49:48.753Z
Answers.LastActivityDate: 2019-05-02T13:35:02.037Z
Answers.LastEditDate: 2019-05-02T13:35:02.037Z
Answers.UserDisplayName: 16Aghnar
Body: <p>As I'm beginner in image processing, I am having difficulty in segmenting all the parts in <a href="https://en.wikipedia.org/wiki/DICOM" rel="nofollow noreferrer">DICOM</a> image. </p>
  
  <p>Currently, I'm applying <a href="https://en.wikipedia.org/wiki/Watershed_(image_processing)" rel="nofollow noreferrer"><em>watershed algorithm</em></a>, but it segments only that part that has tumour. </p>
  
  <p>I have to segment all parts in the image. Which algorithm will be helpful to perform this task?</p>
  
  <p>The image below contains the tumour.</p>
  
  <p><a href="https://i.sstatic.net/3xtzl.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/3xtzl.png" alt="enter image description here"></a></p>
  
  <p>This image is the actual DICOM image</p>
  
  <p><a href="https://i.sstatic.net/zVgfu.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/zVgfu.png" alt="enter image description here"></a></p>
  
Tags: <computer-vision><matlab><image-segmentation>
Title: How do I segment each part of a DICOM image?
UserDisplayName: Shehnaz Ameer
ThreadText: # How do I segment each part of a DICOM image?
  
  (Asked by: username_0 on 2018-10-04)
  
  As I'm beginner in image processing, I am having difficulty in segmenting all the parts in [DICOM](https://en.wikipedia.org/wiki/DICOM) image.
  
  Currently, I'm applying [*watershed algorithm*](https://en.wikipedia.org/wiki/Watershed_(image_processing)), but it segments only that part that has tumour.
  
  I have to segment all parts in the image. Which algorithm will be helpful to perform this task?
  
  The image below contains the tumour.
  
  [![enter image description here](https://i.sstatic.net/3xtzl.png)](https://i.sstatic.net/3xtzl.png)
  
  This image is the actual DICOM image
  
  [![enter image description here](https://i.sstatic.net/zVgfu.png)](https://i.sstatic.net/zVgfu.png)
  
  **Tags:** computer-vision, matlab, image-segmentation
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2018-10-04. Score: 0
  
  I looked at some picture from DICOM, and it seems that these images usually don't have many local minima, so I guess that's why watershed isn't optimal.
  However, it seems that in DICOM the color gradients are often strong, so I suggest to use techniques that works well with gradients:
  
  * Direct Gradient computations, either convolutional gradients or morphological gradients (selects shape of your different objects)
  * Normalized Cut on Similarity Graphs
  
  If you want to know more about these you can read [this post](https://ai.stackexchange.com/q/7617/2444).
  
  
  ---
  
  