How to use machine learning in image segmentation?
조회 수: 2 (최근 30일)
이전 댓글 표시
I have an image database containing raw medical images (lung x-ray image) and their corresponding binary masks indicating blood vessels. I would like to apply machine learning techniques suck as GLM on these training data to build a model. So I can use this model to generate binary blood vessle mask for other lung x-ray images. I need some help for a machine learning workflow/pseudo code for this project.
The Matlab code
is a good start but I'm not sure how I can apply this code to a entire image library?
댓글 수: 0
답변 (1개)
Image Analyst
2016년 4월 17일
Assuming your "library" is a collection of individual image files, you can follow the FAQ:
In the middle of the for loop, you could call AnalyzeSingleImage() which is a function you write that has all of that MATLAB code in it that you got (and probably modified) from the File Exchange.
댓글 수: 3
Image Analyst
2016년 4월 18일
Well, I was answering your last question where you asked "how I can apply this code to a entire image library?" You asking that question led me to believe this was not the case: "I know how to process a sequence of images"
Sorry, but we have not run that File Exchange submission, so if you have a question about that, your best (only) approach is to ask the author who wrote and uploaded it. No one else will know about it.
Salma Hassan
2017년 7월 25일
can i use the weka application for this problem . the input is the attributes like (glcm features ) and choose the classifier from weka
참고 항목
카테고리
Help Center 및 File Exchange에서 Image Data Workflows에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!