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Author

Mateus Ribeiro Piza

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Open access Aug 2026

Texture- and threshold-based image segmentation for quantifying Asian soybean rust severity in digital images

An automated image segmentation pipeline is developed and validated, implemented in Python, to quantify ASR severity from images of soybean leaflets, and enhances contrast between healthy and symptomatic tissues using color space transformations, histogram equalization, and gamma correction.

Maria Angélica Marçola, Afrânio Gabriel da Silva Godinho Santiago, Mateus Ribeiro Piza et al. · 0 citations

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