Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Umasankar Kandaswamy"'
Autor:
Umasankar Kandaswamy, Ziv Rotman, Ian Schillebeeckx, Vitaly A. Klyachko, Valeria Cavalli, Dana Watt
Publikováno v:
Journal of Neuroscience Methods. 213:84-98
High-resolution live-cell imaging studies of neuronal structure and function are characterized by large variability in image acquisition conditions due to background and sample variations as well as low signal-to-noise ratio. The lack of automated im
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). 42:58-68
Under varying illumination, both the statistical and structural contents of color texture are modified, leading to changes in the observed texture surface. We model the effect of illumination as a perturbation on an ideal color texture and show that
Publikováno v:
IEEE Transactions on Image Processing. 20:2260-2275
Several recent advancements in the field of texture analysis prompt some fundamental questions. For instance, what is the true impact of these novel advancements under real-world environments? When do these novel advancements fail to perform? Which m
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 43:2075-2083
We address the problem of efficiency in texture analysis for synthetic aperture radar (SAR) imagery. Motivated by the statistical occupancy model, we introduce the notion of patch reoccurrences. Using the reoccurrences, we propose the use of approxim
Short-term plasticity (STP) represents a key neuronal mechanism of information processing. In excitatory hippocampal synapses, STP serves as a high-pass filter optimized for the transmission of information-carrying place-field discharges. This STP fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79f9dfa98f7e649754d98a0b17a41eef
https://europepmc.org/articles/PMC6633767/
https://europepmc.org/articles/PMC6633767/
Publikováno v:
AutoID
The success of texture based face recognition systems confirms the important role of textural information in automated face recognition and retrieval. While discriminative modelling is considered as a powerful tool for modelling natural textural surf
Publikováno v:
International Journal of Computational Intelligence Research. 3
Publikováno v:
Intelligent Systems in Design and Manufacturing VI.
Color and texture has been extensively studied in the field of image processing and computer vision. Industrial applications based on computer vision that uses color and texture information for produce recognition and surface change detection are mor
Publikováno v:
Computational Imaging and Vision ISBN: 1402034423
ISMM
ISMM
We investigate the use of the standard morphological texture characterisation methods, the granulometry and the variogram, in the task of texture classification. These methods are applied to both colour and greyscale texture images. We also introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f61d9af3d5c93fae1cf74286602aa8
https://doi.org/10.1007/1-4020-3443-1_34
https://doi.org/10.1007/1-4020-3443-1_34
Publikováno v:
SPIE Proceedings.
We address the problem of efficiency in image texture analysis. Motivated by the statistical occupancy model, we introduce the notion of patch re-occurrences. Using the re-occurrences, we propose the use of approximate textural features in image anal