IEEE Access Special Section Editorial: Biologically Inspired Image Processing Challenges and Future Directions

Murroni M.;
2020-01-01

Abstract

Human kind is exposed to large amounts of data. According to statistics, more than 80% of information received by humans comes from the visual system. Therefore, image information processing is not only an important research topic but also a challenging task. The unique information processing mechanism of the human visual system provides it with fast, accurate, and efficient image processing capabilities. At present, many advanced image analysis and processing techniques have been widely used in image communication, geographic information systems, medical image analysis, and virtual reality. However, there is still a large gap between these technologies and the human visual system. Therefore, building an image system research mechanism based on the biological vision system is an attractive but difficult target. Although it is a challenge, it can also be considered as an opportunity which utilizes biologically inspired ideas. Meanwhile, through the integration of neural biology, biological perception mechanisms, and computer science and mathematical science, related research can bridge biological vision and computer vision. Finally, the biologically inspired image analysis and processing system is expected to be built on the basis of further consideration of the learning mechanism of the human brain.
2020
Inglese
8
9170941
147459
147462
4
https://ieeexplore.ieee.org/document/9170941
Esperti anonimi
internazionale
scientifica
Yang, J.; Meng, Q.; Murroni, M.; Wang, S.; Shao, F.
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
5
open
Files in This Item:
File Size Format  
IEEE-Access-Special-Section-Editorial-Biologically-Inspired-Image-Processing-Challenges-and-Future-Directions2020IEEE-AccessOpen-Access.pdf

open access

Type: versione editoriale
Size 1.62 MB
Format Adobe PDF
1.62 MB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie