Image segmentation using deep learning: A survey
Image segmentation is a key task in computer vision and image processing with important
applications such as scene understanding, medical image analysis, robotic perception …
applications such as scene understanding, medical image analysis, robotic perception …
[PDF][PDF] A threshold selection method from gray-level histograms
N Otsu - Automatica, 1975 - dspace.tul.cz
Summary 16S rRNA-targeted oligonucleotide probes for eubacteria (EUB338), ammonium-
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …
oxidizing bacteria (Nsm156) and nitrite-oxidizing bacteria (Nb1000) were used for the rapid …
Exact feature distribution matching for arbitrary style transfer and domain generalization
Arbitrary style transfer (AST) and domain generalization (DG) are important yet challenging
visual learning tasks, which can be cast as a feature distribution matching problem. With the …
visual learning tasks, which can be cast as a feature distribution matching problem. With the …
Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
[图书][B] Computer vision: algorithms and applications
R Szeliski - 2022 - books.google.com
Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …
despite all of the recent advances in computer vision research, the dream of having a …
Цифровая обработка изображений
Р Гонсалес, Р Вудс - 2012 - elibrary.ru
Настоящее издание является результатом значительной переработки книги
«Цифровая обработка изображений»(Гонсалес и Уинтц, 1977 г. и 1978 г.; Гонсалес и …
«Цифровая обработка изображений»(Гонсалес и Уинтц, 1977 г. и 1978 г.; Гонсалес и …
[图书][B] An introduction to neural networks
K Gurney - 2018 - taylorfrancis.com
Though mathematical ideas underpin the study of neural networks, the author presents the
fundamentals without the full mathematical apparatus. All aspects of the field are tackled …
fundamentals without the full mathematical apparatus. All aspects of the field are tackled …
Photonic crystal slab Laplace operator for image differentiation
Spatial differentiation is important in image-processing applications such as image
sharpening and edge-based segmentation. In these applications, of particular importance is …
sharpening and edge-based segmentation. In these applications, of particular importance is …