Hello everyone,
I am a graduate student and a relatively new user of MATLAB. I am currently working on a research project involving the analysis of ARK (Auto-Refractor Keratometer) retroillumination images to study cataracts.
I have successfully completed the first step, which is segmenting the pupil ROI (mask) from the anterior segment images using the Segment Anything Model (SAM).
Now, I am facing a challenge: I need to precisely mask the opacities (cloudy areas) within the identified pupil region. While I can perform this task for a single image using SAM, I have a dataset of approximately 500 images, making individual manual processing impractical.
I am looking for guidance on how to automate this process in MATLAB. Specifically:
Are there recommended image processing techniques (e.g., adaptive thresholding, texture analysis, or morphological operations) that work well for identifying cataract opacities within a pupil mask?
Is there a way to batch-process these 500 images efficiently while maintaining high precision?
Are there any existing File Exchange entries or toolboxes you would recommend for this type of medical image segmentation?
I would greatly appreciate any advice, code snippets, or references to help me move forward with my research.
Thank you in advance for your help!
Best regards,Hello everyone,
I am a graduate student and a relatively new user of MATLAB. I am currently working on a research project involving the analysis of ARK (Auto-Refractor Keratometer) retroillumination images to study cataracts.
I have successfully completed the first step, which is segmenting the pupil ROI (mask) from the anterior segment images using the Segment Anything Model (SAM).
Now, I am facing a challenge: I need to precisely mask the opacities (cloudy areas) within the identified pupil region. While I can perform this task for a single image using SAM, I have a dataset of approximately 500 images, making individual manual processing impractical.
I am looking for guidance on how to automate this process in MATLAB. Specifically:
Are there recommended image processing techniques (e.g., adaptive thresholding, texture analysis, or morphological operations) that work well for identifying cataract opacities within a pupil mask?
Is there a way to batch-process these 500 images efficiently while maintaining high precision?
Are there any existing File Exchange entries or toolboxes you would recommend for this type of medical image segmentation?
I would greatly appreciate any advice, code snippets, or references to help me move forward with my research.
Thank you in advance for your help!
Best regards, Hello everyone,
I am a graduate student and a relatively new user of MATLAB. I am currently working on a research project involving the analysis of ARK (Auto-Refractor Keratometer) retroillumination images to study cataracts.
I have successfully completed the first step, which is segmenting the pupil ROI (mask) from the anterior segment images using the Segment Anything Model (SAM).
Now, I am facing a challenge: I need to precisely mask the opacities (cloudy areas) within the identified pupil region. While I can perform this task for a single image using SAM, I have a dataset of approximately 500 images, making individual manual processing impractical.
I am looking for guidance on how to automate this process in MATLAB. Specifically:
Are there recommended image processing techniques (e.g., adaptive thresholding, texture analysis, or morphological operations) that work well for identifying cataract opacities within a pupil mask?
Is there a way to batch-process these 500 images efficiently while maintaining high precision?
Are there any existing File Exchange entries or toolboxes you would recommend for this type of medical image segmentation?
I would greatly appreciate any advice, code snippets, or references to help me move forward with my research.
Thank you in advance for your help!
Best regards, image processing, masking, image processing toolbox MATLAB Answers — New Questions

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