首页|Forward-reverse fractional and fuzzy logic augmented partial differential equation-based enhancement and thresholding for degraded document images

Forward-reverse fractional and fuzzy logic augmented partial differential equation-based enhancement and thresholding for degraded document images

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  • NSTL
  • Elsevier
This paper presents a thresholding algorithm using an alternate forward-reverse flow-based partial differential equation (PDE)-based formulation. Additionally, revised models are augmented with fuzzy intensification and fuzzy rule-based structure tensor edge terms for handling degraded document images. Furthermore, an effective technique for enhancement of document images with extreme bleed-through is proposed to further improve binarization results. Comparisons with state-of-the-art PDE thresholding/binarization approaches show superior re-sults of proposed methods based on visual and objective analysis.

Adaptive thresholdingSource-edge-diffusion(SED)-based PDEFractional partial differential equationsFuzzy intensification boosted forward-reversePDEFuzzy rule-based structure tensor edge termFuzzy edge detectionLEVEL SET EVOLUTIONVARIATIONAL MODELTEXT BINARIZATIONDIFFUSIONSEGMENTATION

Nnolim, Uche A.

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Univ Nigeria

2022

10.1016/j.ijleo.2022.169050

Optik

Optik

EISCI
ISSN：0030-4026
年,卷(期)：2022.260
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