Selected engineering work
Dental X-ray segmentation
Published in portfolio:
An image-processing prototype for outlining and counting regions in dental X-rays using Python and OpenCV.
My contribution
AI developer
Developed an image-processing exploration covering image resizing, contour detection and connected-component analysis for dental X-ray regions.
Project context
A prototype demonstration of image analysis. No clinical validation or diagnostic performance is claimed.
Watch the project
Dental X-ray segmentation
Project recording · YouTube
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Computer vision · Workflow
How it works
Prepare the image
Resize the X-ray input for processing.
Identify regions
Use contours and connected-component analysis.
Inspect the result
Review the outlined regions and object counts.
Explore the work
The portfolio date records the public listing. It does not establish the project's development dates.
Project description and engineering work
The workflow explores how classical image-processing operations can identify distinct regions in dental radiographs. Resizing prepares the input, contours outline candidate objects, and connected-component analysis separates regions for counting.
The linked recording accompanies the project. The portfolio describes the processing workflow, without presenting its output as a diagnosis.