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Modified Gradient Search for Level Set Based Image Segmentation
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- Andersson, Thord (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Institutionen för medicinsk teknik,Tekniska högskolan
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- Läthén, Gunnar (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medie- och Informationsteknik,Tekniska högskolan
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- Lenz, Reiner (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medie- och Informationsteknik,Tekniska högskolan
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- Borga, Magnus (författare)
- Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Medicinsk informatik,Tekniska högskolan
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(creator_code:org_t)
- IEEE Signal Processing Society, 2013
- Engelska.
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Ingår i: IEEE Transactions on Image Processing. - : IEEE Signal Processing Society. - 1057-7149 .- 1941-0042. ; 22:2, s. 621-630
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Level set methods are a popular way to solve the image segmentation problem. The solution contour is found by solving an optimization problem where a cost functional is minimized. Gradient descent methods are often used to solve this optimization problem since they are very easy to implement and applicable to general nonconvex functionals. They are, however, sensitive to local minima and often display slow convergence. Traditionally, cost functionals have been modified to avoid these problems. In this paper, we instead propose using two modified gradient descent methods, one using a momentum term and one based on resilient propagation. These methods are commonly used in the machine learning community. In a series of 2-D/3-D-experiments using real and synthetic data with ground truth, the modifications are shown to reduce the sensitivity for local optima and to increase the convergence rate. The parameter sensitivity is also investigated. The proposed methods are very simple modifications of the basic method, and are directly compatible with any type of level set implementation. Downloadable reference code with examples is available online.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Active contours
- gradient methods
- image segmentation
- level set method
- machine learning
- optimization
- variational problems
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)