Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Y. V. Vizilter"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIV-2-W1-2021, Pp 207-211 (2021)
A lot of image matching applications require image comparison to be invariant relative to intensity values variations. The Pyt’ev theory for Morphological Image Analysis (MIA) was developed based on image-to-shape matching with mosaic shape models.
Externí odkaz:
https://doaj.org/article/b0d27c0b2b7e4e57a28550516adf8797
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 707-714 (2018)
In this paper we propose a new technic called etalons, which allows us to interpret the way how convolution network makes its predictions. This mechanism is very similar to voting among different experts. Thereby CNN could be interpreted as a variety
Externí odkaz:
https://doaj.org/article/41eb0c074bdd4fc7a58bb3fa875c9fda
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 565-571 (2018)
We present a method for change detection in images using Conditional Adversarial Network approach. The original network architecture based on pix2pix is proposed and evaluated for difference map creation. The paper address three types of experiments:
Externí odkaz:
https://doaj.org/article/7984478c8a5d482fa5505089e557e349
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-1-W1, Pp 403-410 (2017)
Change detection scheme based on guided contrasting was previously proposed. Guided contrasting filter takes two images (test and sample) as input and forms the output as filtered version of test image. Such filter preserves the similar details and s
Externí odkaz:
https://doaj.org/article/3da0b6ee1dfe48be8e55247ebb5c34cf
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol III-3, Pp 279-286 (2016)
In this paper we propose the new change detection technique based on morphological comparative filtering. This technique generalizes the morphological image analysis scheme proposed by Pytiev. A new class of comparative filters based on guided contra
Externí odkaz:
https://doaj.org/article/36ddc058480f41ffb5e8a05c529b6da6
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 535-541 (2016)
In this paper we propose a new approach for change detection and moving objects detection in videos with unstable, abrupt illumination changes. This approach is based on mutual comparative filters and background normalization. We give the definitions
Externí odkaz:
https://doaj.org/article/3792a4a8c8824ce9a3e73848c9b5f219
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-5/W6, Pp 65-71 (2015)
In this paper, we propose a new approach for moving objects detection in video surveillance systems. It is based on construction of the regression diffusion maps for the image sequence. This approach is completely different from the state of the art
Externí odkaz:
https://doaj.org/article/5579222fa6374b178d38e369da42f339
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-5/W6, Pp 13-18 (2015)
A morphological orientation spectra is proposed. This spectrum describes basic directions of shape parts. Fast discrete-continuous algorithm for computing orientation spectrum is presented. It is based on usage of continuous skeleton that is construc
Externí odkaz:
https://doaj.org/article/d41ecc13197f430d97101a59779bc867
Autor:
Y. V. Vizilter, S. Y. Zheltov
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol I-3, Pp 191-196 (2012)
The problem of image correspondence measure selection for image comparison and matching is addressed. Many practical applications require image matching "just by shape" with no dependence on the concrete intensity or color values. Most popular techni
Externí odkaz:
https://doaj.org/article/c7837d6a857f4ed4a2cd0b8a643fea1f
Publikováno v:
Компьютерная оптика, Vol 45, Iss 3, Pp 449-460 (2021)
We consider the statistical properties of different mosaic filters. We demonstrate that in Pitiev's morphology, the measure of shape complexity is directly related to the shape simplicity measure based on morphological correlation coefficient (MCC).