ORB feature based matching of two-dimensional electrophoresis gel images

Tumas, Paulius; Serackis, Artūras

Use this url to cite publication: https://hdl.handle.net/20.500.14911/117158

ORB feature based matching of two-dimensional electrophoresis gel images

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje Lietuvos tarptautinės konferencijos medžiagoje / Article in peer-reviewed Lithuanian international conference proceedings (P1e)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

VILNIUS TECH Research Priorities and Topics

Informacinės technologijos, ontologinės ir telematikos sistemos / Information technologies, ontological and telematic systems (IK01)

Lithuanian Intelligent Specialization

Sveikatos technologijos ir biotechnologijos / Health technologies and biotechnologies (L105)

Author(s)

Author	Affiliation
Tumas, Paulius	Elektroninių sistemų katedra / Department of Electronic Systems (0549)
Serackis, Artūras	Elektroninių sistemų katedra / Department of Electronic Systems (0549)

Title

ORB feature based matching of two-dimensional electrophoresis gel images

[en]

P. Tumas, A. Serackis

Is part of

Biomedical engineering-2016 : proceedings of 20th international conference, 24-25 November, Kaunas, Lithuania / Kaunas University of Tecnology, Lithuanian Society for Biomedical Engineering

Published In

Year	Start Page	End Page
2016	117	120

Publisher

Kaunas : Kauno technologijos universitetas

Extent

p. 117-120

URI

URI
https://hdl.handle.net/20.500.14911/117158

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

An alternative approach was applied for matching two - dimensional Protein gel Electrophores is images for real - time applications use. For the feature extraction of protein spot the ORB feature descriptor was used. The matching of extracted ORB features was achieved using the Brute Force matcher. Lastly, the planar homography transformation matrix is found and perspective transform applied gaining the warped two - dimensional electrophoresis image. The matching performed in 2.1 second of selected gel region having 2855x1176 initial resolution gel image with ~9 1 % accuracy using standard desktop computing.