Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yaobin Zou"'
Publikováno v:
IEEE Access, Vol 8, Pp 171218-171239 (2020)
An automatic thresholding method based on Shannon entropy difference and dynamic synergic entropy is proposed to select a reasonable threshold from the gray level image with a unimodal, bimodal, multimodal, or peakless gray level histogram. Firstly,
Externí odkaz:
https://doaj.org/article/1d1c2128c0e34ad29c070c67d95fb2b9
Publikováno v:
IEEE Access, Vol 7, Pp 106327-106335 (2019)
Blur is a general image degradation caused by low-quality cameras or intentional photographing for highlighting moving or salient objects. However, most blur classifiers just classify images into blur and sharp, which cannot distinguish the intention
Externí odkaz:
https://doaj.org/article/208c9cebafbc4f1aa992b596c689f91e
Publikováno v:
2022 Euro-Asia Conference on Frontiers of Computer Science and Information Technology (FCSIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20173fedc990aa720e69601b41dad48c
https://doi.org/10.1109/fcsit57414.2022.00021
https://doi.org/10.1109/fcsit57414.2022.00021
Publikováno v:
Neurocomputing. 437:84-94
An increasing number of change detection models are designed with different convolutional neural network (CNNs). However, the mechanism for designing network layers that can effectively extract robust features for different scenes remains unclear. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c64d49c3f82f03e303c1126267d91779
https://doi.org/10.1016/j.neucom.2021.01.030
https://doi.org/10.1016/j.neucom.2021.01.030
Publikováno v:
Neurocomputing. 418:102-113
Most of the previous change detection methods are designed based on the difference of two images. However, directly using intensity or the features to generate difference image may be easily affected by the illumination and camera pose variations. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43922b51f901fd60bf3b61afabc49f8d
https://doi.org/10.1016/j.neucom.2020.08.027
https://doi.org/10.1016/j.neucom.2020.08.027
Publikováno v:
IEEE Signal Processing Letters. 27:775-779
Most of the existing RGB-D saliency detectors have tried different strategies to fuse RGB and depth information to generate better saliency detection results. However, the ability of only using RGB image to detect the salient object is ignored in RGB
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::855e46b7f312285ae7c699a242dfcda6
https://doi.org/10.1109/lsp.2020.2989674
https://doi.org/10.1109/lsp.2020.2989674
Publikováno v:
Neurocomputing. 371:147-157
Image saliency and co-saliency detection that aim to detect salient objects in an image or common salient objects in a group of images are import in computer vision. Researchers often treat saliency and co-saliency as two separate problems. In this p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::347da693c74e02cd0f00a957fe8bebd6
https://doi.org/10.1016/j.neucom.2019.09.011
https://doi.org/10.1016/j.neucom.2019.09.011
Autor:
Bangjun Lei, Guangzhu Xu, Ming Feng, Yaobin Zou, Ferdinand van der Heijden, Dick de Ridder, David M. J. Tax
A practical introduction to intelligent computer vision theory, design, implementation, and technology The past decade has witnessed epic growth in image processing and intelligent computer vision technology. Advancements in machine learning methods
Autor:
Ming Feng, David M. J. Tax, Yaobin Zou, Ferdinand van der Heijden, Guangzhu Xu, Dick de Ridder, Lei Bangjun
Publikováno v:
Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB, 2nd Edition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963a18fe31a041b648381af82c5f3054
https://doi.org/10.1002/9781119152484
https://doi.org/10.1002/9781119152484
Publikováno v:
Digital Signal Processing. 28:120-135
Otsu method is one of the most popular image thresholding methods. The segmentation results of Otsu method are in general acceptable for the gray level images with bimodal histogram patterns that can be approximated with mixture Gaussian modal. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62d43112e523b622bdf7c99ff09c3d74
https://doi.org/10.1016/j.dsp.2014.02.008
https://doi.org/10.1016/j.dsp.2014.02.008