dataset_drawings.xlsx

This study introduces a quantitative method using Local Shannon Entropy to assess information in digital drawings. After converting images to grayscale, entropy is computed in non-overlapping blocks. This block size captures both detail and complexity. The approach enhances drawing analysis in psychology and neuroscience.