Bio-inspired approach to multistage image processing
Fragment książki (Materiały konferencyjne)
MNiSW
15
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Status: | |
Autorzy: | Timchenko Leonid I., Pavlov Sergii V., Kokryatskaya Natalia I., Poplavska Anna A., Kobylyanska Iryna M., Burdenyuk Iryna I., Wójcik Waldemar, Uvaysova Svetlana, Orazbekov Zhassulan, Kashaganova Gulzhan |
Dyscypliny: | |
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Wersja dokumentu: | Drukowana | Elektroniczna |
Arkusze wydawnicze: | 0,5 |
Język: | angielski |
Strony: | 1087 - 1100 |
Web of Science® Times Cited: | 21 |
Scopus® Cytowania: | 39 |
Bazy: | Web of Science | Scopus |
Efekt badań statutowych | NIE |
Materiał konferencyjny: | TAK |
Nazwa konferencji: | XL-th IEEE-SPIE Joint Symposium on Photonics, Web Engineering, Electronics for Astronomy and High Energy Physics Experiments |
Skrócona nazwa konferencji: | XL SPIE-IEEE-PSP 2017 |
URL serii konferencji: | LINK |
Termin konferencji: | 28 maja 2017 do 6 czerwca 2017 |
Miasto konferencji: | Wilga |
Państwo konferencji: | POLSKA |
Publikacja OA: | NIE |
Abstrakty: | angielski |
Multistage integration of visual information in the brain allows people to respond quickly to most significant stimuli while preserving the ability to recognize small details in the image. Implementation of this principle in technical systems can lead to more efficient processing procedures. The multistage approach to image processing, described in this paper, comprises main types of cortical multistage convergence. One of these types occurs within each visual pathway and the other between the pathways. This approach maps input images into a flexible hierarchy which reflects the complexity of the image data. The procedures of temporal image decomposition and hierarchy formation are described in mathematical terms. The multistage system highlights spatial regularities, which are passed through a number of transformational levels to generate a coded representation of the image which encapsulates, in a computer manner, structure on different hierarchical levels in the image. At each processing stage a single output result is computed to allow a very quick response from the system. The result is represented as an activity pattern, which can be compared with previously computed patterns on the basis of the closest match. |