Binarization of Degraded Document Images Using Convolutional Neural Networks and Wavelet-Based Multichannel Images

Autor: Younes Akbari, Somaya Al-Maadeed, Kalthoum Adam

Publikováno v: IEEE Access, Vol 8, Pp 153517-153534 (2020)

Convolutional neural networks (CNNs) have previously been broadly utilized to binarize document images. These methods have problems when faced with degraded historical documents. This paper proposes the utilization of CNNs to identify foreground pixe

Externí odkaz: https://doaj.org/article/f2684625063e46a99bc57efdc7ac78b5

Supervised multichannel image classification algorithm using hierarchical histogram representation

Autor: Denisova, A.Y. ^a, Sergeyev, V.V. ^{a, b}

Publikováno v: In Procedia Engineering 2017 201:213-222

Automation of Processing Multichannel Remote Sensing Images Based on Performance Prediction

Autor: Vladimir V. Lukin, Oleksii Rubel, Nataliia Kussul, Karen Egiazarian, Benoit Vozel, Mikhail L. Uss, Sergey K. Abramov

Publikováno v: 2020 IEEE Ukrainian Microwave Week, UkrMW 2020
2020 IEEE Ukrainian Microwave Week, UkrMW 2020, Sep 2020, Kharkiv, Ukraine. pp.139-144, ⟨10.1109/UkrMW49653.2020.9252654⟩

International audience; This paper deals with processing of multichannel remote sensing images for which it is difficult and often impossible to carry out any stage of data processing in an interactive manner and, thus, full or, at least, partial aut

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::deb3a39513248a7fd04d346850b9776a
https://doi.org/10.1109/ukrmw49653.2020.9252654

Hypercomplex models of multichannel images

Autor: Labunets, V. G.

Publikováno v: Trudy Instituta Matematiki i Mekhaniki UrO RAN
Труды института математики и механики УРО РАН

We present a new theoretical approach to the processing of multidimensional and multicomponent images based on the theory of commutative hypercomplex algebras, which generalize the algebra of complex numbers. The main goal of the paper is to show tha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2762::9410758674b7e6bfaf9dd2cc6128d823
https://elar.usfeu.ru/handle/123456789/10029

Skin Lesions Classification using Multichannel Dermoscopic Images

Autor: Vinícius de Moura, Luís, Machado Dartora, Caroline, Marques da Silva, Ana Maria

Visual inspection of visible light dermoscopic images can be challenging due to the similarity between melanoma and benign skin lesions, especially in the early stages. This paper aims to investigate the influence of independent use of color channels

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06a5a9c1d1b1809d797e52abf3218882