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Prototype-Based Con...
Prototype-Based Contour Detection Applied to Segmentation of Phytoplankton Images
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- Vaiciukynas, Evaldas (författare)
- Kaunas University of Technology, Kaunas, Lithuania
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- Verikas, Antanas, 1951- (författare)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab),Kaunas University of Technology, Kaunas, Lithuania
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- Gelzinis, Adas (författare)
- Kaunas University of Technology, Kaunas, Lithuania
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- Bacauskiene, Marija (författare)
- Kaunas University of Technology, Kaunas, Lithuania
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- Sulcius, Sigitas (författare)
- Klaipeda University, Klaipeda, Lithuania
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- Paskauskas, Ricardas (författare)
- Klaipeda University, Klaipeda, Lithuania
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- Olenina, Irina (författare)
- Klaipeda University, Klaipeda, Lithuania
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(creator_code:org_t)
- 2013
- 2013
- Engelska.
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Ingår i: AWERProcedia Information Technology and Computer Science. ; , s. 1285-1292
- Relaterad länk:
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https://hh.diva-port... (primary) (Raw object)
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Novel prototype-based framework for image segmentation is introduced and successfully applied for cell segmentation in microscopy imagery. This study is concerned with precise contour detection for objects representing the Prorocentrum minimum species in phytoplankton images. The framework requires a single object with the ground truth contour as a prototype to perform detection of the contour for the remaining objects. The level set method is chosen as a segmentation algorithm and its parameters are tuned by differential evolution. The fitness function is based on the distance between pixels near contour in the prototype image and pixels near detected contour in the target image. Pixels “of interest correspond to several concentric bands of various width in outer and inner areas, relative to the contour. Usefulness of the introduced approach was demonstrated by comparing it to the basic level set and advanced Weka segmentation techniques. Solving the parameter selection problem of the level set algorithm considerably improved segmentation accuracy.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Contour detection
- level set
- trainable segmentation
- differential evolution
- Quadratic-Chi distance
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)