Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …

This review provides a comprehensive view of the field of historical document image
binarization with a focus on the contributions made in the last decade. After the introduction …

Emergency response to floods requires timely information on water extents, which can be
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …

Detecting and reading text from natural images is a hard computer vision task that is central
to a variety of emerging applications. Related problems like document character recognition …

Accurate cell nucleus segmentation is necessary for automated cytological image analysis.
Thresholding is a crucial step in segmentation. The accuracy of segmentation depends on …

Adaptive binarization methods play a central role in document image processing. In this
work, an adaptive and parameterless generalization of Otsu's method is presented. The …

OCRopus is a new, open source OCR system emphasizing modularity, easy extensibility,
and reuse, aimed at both the research community and large scale commercial document …

Difficulties in visual inspection of metro shield tunnels induced by various on-site
installations (eg, lighting instruments and pipelines) have been resolved by two-stage …

Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …

Due to the interference problems of complex on‐site installations attached to shield tunnel
lining surface, deep learning models, developed for leakage datasets of shield tunnels, are …