DocumentCode
3015527
Title
A biology-based template-matching framework
Author
Filho, H.P. ; Souza, A.F.D.
Author_Institution
Lab. de Comput. de Alto Desempenho, Univ. Fed. do Espirito Santo, Vitoria, Brazil
fYear
2012
fDate
27-29 Nov. 2012
Firstpage
326
Lastpage
331
Abstract
The multichannel model is a complete reassessment of how neurons work at the biochemical level. Its results can be extended into an overarching theory of how vision, memory and cognition come to be in the living brain. This article documents a first attempt at testing the model´s validity, by applying its principles to the construction of an image template-matching framework, which is then used to solve a Graphical User Interface (GUI) automation problem. It is found that the template-matching application thus implemented can consistently locate required visual controls, even when template and match differ by color palette or (to a slighter degree) feature proportion. The article concludes by discussing the significance of these results and directions for further research.
Keywords
biochemistry; brain; cognition; graphical user interfaces; image colour analysis; image matching; neurophysiology; GUI automation problem; biochemical level; biology-based template-matching framework; cognition; color palette; feature proportion; graphical user interface automation problem; image template matching framework; living brain; multichannel model; neurons; overarching theory; visual control; Automation; Biological system modeling; Brain modeling; Computational modeling; Neurons; Visualization; cognitive models; computer vision; machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2012 12th International Conference on
Conference_Location
Kochi
ISSN
2164-7143
Print_ISBN
978-1-4673-5117-1
Type
conf
DOI
10.1109/ISDA.2012.6416559
Filename
6416559
Link To Document