how i extract the nose region in this image?

I did the segmentation (thresholding) by the fcm algorithm, I have this photo which contains the labels and I need to extract the nasal cavity

And another question: how do I convert a matrix into a 2-D image? What command can I use?

Answer 1

[Image Analyst]

This does not look like a classified/labeled image because you have gradations of color. Anyway, if it were a labeled image, and say the nasal cavity were class #3, you'd use ismember() on the labeled image to extract just that class

nasalCavities = ismember(labeledImage, 3);  % Extract label value 3 from the image.

[Image Analyst]

ensg's "Answers" moved here:

another question how can i get a labeled image? i need the code thank you

i have got this image and i need a labeled image

[Image Analyst]

I'm not sure what regions you want, but can you get it from thresholding? I have a interactive thresholding application in my File Exchange along with an image segmentation tutorial that shows you how to label regions. http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862

[ensg]

i attach you a document with the images that i need please you say to me a code to do this or to get the labeled image please thank you image analist

[Image Analyst]

There's virtually no contrast so the boundaries are ill-defined. If you can't get it by thresholding then I don't know how you could. You may just have to search VisionBib for articles that segment out whatever organ that is.

[Image Analyst]

ensg's "Answer" moved here since it appears to be a "Comment" to me rather than a brand new separate "Answer" that answers her original question posted way up at the top:

i know what is the organ that i want to extract but i need a code to get the second image that i show in the pdf because this pdf is an example

[Image Analyst]

That's why I referred you to papers where people published articles on how to do that. I have no idea what organ it is and it looks a lot more complicated than simple thresholding can handle so you'll need a more sophisticated algorithm than I can develop for you in the 5 minutes I allow for free demos. I mean to be robust to all images for similar organs in all kinds of patients, it will have to be a very sophisticated algorithm that people work on for months or years, like something a Ph.D. student would do. It's not something I could do in a few minutes this morning for you. If it were simple thresholding, I could, but not this. Sorry - I hope you understand.

Answer 2

[ensg]

if you know an algorithm to label and extract or a code please you tell me

Answer 3

[ensg]

thank you so much no problem i understand you but i think that it´s very simple but i don´t explain well