Application of Multi-layered Thresholding Based on Stack of Regions for Unevenly Illuminated Industrial Images

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1196)


Binarization of unevenly illuminated and natural images usually cannot be conducted using typical global thresholding methods. Due to changes of the local contrast and potential presence of some other distortions the application of more computationally demanding adaptive methods is necessary. Nevertheless, to find balance between the global and adaptive methods, some relatively fast region based approaches might be considered providing satisfactory results. Since typical issues for unevenly illuminated industrial images are quite similar to some distortions which may be found in degraded document images, in view of lack of industrial image databases, all numerical experiments have been conducted using recently developed challenging Bickley Diary dataset. Results of experiments, verified for sample unevenly illuminated industrial images containing text information, are promising and confirm usefulness of the proposed multi-layered approach based on the use of stack of regions.


Image binarization Adaptive thresholding Unevenly illuminated images Document images 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of Electrical EngineeringWest Pomeranian University of Technology in SzczecinSzczecinPoland

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