arXiv Computer Vision September 11, 2026 By Naveenraj Kamalakannan, Sri Ram Macharla, M Kanimozhi, M S Sudhakar

Exponential Pixelating Integral transform with dual fractal features for enhanced chest X-ray abnormality detection

Read the original on arXiv Computer Vision →

The paper introduces the Exponential Pixelating Integral (EPI) transform, which enhances pixel intensities in chest X‑rays to mitigate low‑contrast and noise issues. The enhanced images are polar‑transformed and represented using locally invariant Mandelbrot and Julia fractal geometries, producing dual fractal features. These features are classified with non‑parametric multivariate adaptive regression splines, achieving high accuracy (98.46–99.45%) and F1 scores (96.53–98.10%) on large benchmark datasets.

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