Description of codes to image processing and data classification (Python and MATLAB)

The materials correspond to the workflows used for image processing, pore characterization, and automatic classification of well-log data through Self-Organizing Maps (SOM). No raw data, images, or laboratory results are included—only the reproducible code used in the thesis.

The Python scripts implement image enhancement (MSRCP), segmentation, contour detection, and quantitative measurement of pore attributes, generating tabulated outputs and visualizations. The MATLAB® scripts use the SOM Toolbox to load LAS files, integrate the derived vug_phi curve with conventional logs, standardize data, classify it using SOM combined with k-means and the Davies–Bouldin criterion, and produce SOM visualizations.