Results 211 to 220 of about 12,320 (267)

Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning. [PDF]

JACS Au
Wang Y, Struble D, Upreti S, Xie Z, Chan KH, Liu Y, Zhu C, Ashby P, Xia W, Patton D, Ma B, Gu X.   +11 more
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Segmentation and modeling of large-scale microvascular networks: a survey. [PDF]

Front Bioinform
Goharbavang H, Ashitkov AT, Pillai A, Wythe JD, Chen G, Mayerich D.   +5 more
europepmc   +1 more source

Simultaneous in vivo imaging of Ca²⁺ signals in periarteriolar cholinergic axonal varicosities and arteriolar diameter changes in the mouse cerebral cortex. [PDF]

J Physiol Sci
Watanabe N, Hotta H.
europepmc   +1 more source

Evaluation of epistasis detection methods for quantitative phenotypes. [PDF]

Bioinformatics
Listopad S, Renjith G, Peng Q.
europepmc   +1 more source

Anterior chamber inflammation grading with automatized image processing software. [PDF]

Sci Rep
Aydoğdu Hİ, Yalçindağ FN.
europepmc   +1 more source

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Direct binarization a quality-and-time efficient binarization strategy

Proceedings of the 21st ACM Symposium on Document Engineering, 2021
Most of the best known binarization algorithms have grayscale conversion as a pre-processing step, before applying the binarization strategy itself. Many algorithms produce equally good or even better quality images if fed with only one component of the image, instead of its gray-scale/luminance equivalent.
Rafael Dueire Lins, Rodrigo Barros Bernardino, Ricardo da Silva Barboza, Zanoni Dueire Lins   +3 more
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Gaussian Image Binarization

International Journal of Image and Graphics, 2021
Line drawing and screentoning are two distinct areas of study in non-photorealistic rendering, where the former emphasizes object contours, while the latter conveys tone and shading information on object surfaces. As these two problems are concerned with different yet equally important features, either method seldom delivers a complete description of ...
Henry Kang, Ioannis I. Stamoulis
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CONNECTIONIST MODEL BINARIZATION

International Journal of Pattern Recognition and Artificial Intelligence, 1991
Image binarization is a task to convert gray-level images into bi-level ones. Its underlying notion can be simply thought of as threshold selection. However, the result of binarization will cause significant influence on the process of image recognition or understanding.
Noboru Babaguchi, Koji Yamada, Koichi Kise, Yoshikazu Tezuka   +3 more
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Adaptive document binarization

Proceedings of the Fourth International Conference on Document Analysis and Recognition, 2002
A new method is presented for adaptive document image binarization, where the page is considered as a collection of subcomponents such as text, background and picture. The problems caused by noise, illumination and many source type related degradations are addressed.
Jaakko J. Sauvola, Tapio Seppänen, Sami Haapakoski, Matti Pietikäinen   +3 more
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