Fiber-Reinforced Composite Image Segmentation

Project Objective: Segmenting Voids and Resin-Rich Areas in Fiber-Reinforced Composites

Goal
I am working with microscopy images of carbon fiber resin composites. As a beginner in image processing and MATLAB (or ImageJ), my main goal is to accurately segment voids and resin-rich areas in the composite microstructure through a clear, step-by-step, beginner-friendly workflow.

End Objective
To process and segment the image into two distinct regions:

Resin-rich areas

Voids

Tasks to Perform in ImageJ OR Matlab
1. Image Preprocessing
Load the microscopy image.

Apply basic preprocessing techniques such as:

Noise reduction

Contrast enhancement or histogram equalization

2. Segmentation
Apply image processing techniques such as:

Thresholding (manual or adaptive)

Clustering (e.g., k-means)

Morphological operations (e.g., opening, closing)

Distinguish voids from resin-rich regions based on pixel intensity and texture

Requirements
The solution must be beginner-friendly and clearly explained.

Include step-by-step MATLAB code or ImageJ macro, with comments to help understand the logic.

Make the code or workflow modular and easy to adapt to different image sets.