Computationally efficient shape analysis via level sets

Date

1996-01-01

Author

Tarı, Zehra Sibel
Pien, Homer

Metadata

Show full item record

Item Usage Stats

17
views

0
downloads

In recent years, curve evolution has been applied to smoothing of shapes and shape analysis with considerable success, especially in biomedical image analysis. The multiscale analysis provides information regarding parts of shapes, their axes or centers and shape skeletons. In this paper, we show that the level sets of an edge-strength function provide essentially the same shape analysis as provided by curve evolution. The new method has several advantages over the method of curve evolution. Since the governing equation is linear, the implementation is simpler and faster. The same equation applies to problems of higher dimension. An important advantage is that unlike the method of curve evolution, the new method is applicable to shapes which may have junctions such as triple points. The edge-strength may be calculated from raw images without first extracting the shape outline. Thus the method can be applied to raw images. The method provides a way to approach the segmentation problem and shape analysis within a common integrated framework.

Subject Keywords

Medical image processing, Edge detection

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0029695562&origin=inward
https://hdl.handle.net/11511/79815
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=534075

DOI

https://doi.org/10.1109/MMBIA.1996.534075

Conference Name

Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Performance improvement of a 3-D configuration reconstruction algorithm for an object using a single camera image Özkılıç, Sibel; Platin, Bülent Emre; Department of Mechanical Engineering (2003) Performance improvement of a 3-D configuration reconstruction algorithm using a passive secondary target has been focused in this study. In earlier studies, a theoretical development of the 3-D configuration reconstruction algorithm was achieved and it was implemented by a computer program on a system consisting of an optical bench and a digital imaging system. The passive secondary target used was a circle with two internal spots. In order to use this reconstruction algorithm in autonomous systems, an auto...
Shape recognition with generalized beam angle statistics Tola, OO; Arica, N; Yarman Vural, Fatoş Tunay (2004-04-30) In this study, we develop a new shape descriptor and matching algorithm in order to find a given template shape in an edge detected image without performing boundary extraction. The shape descriptor based on Generalized Beam Angle Statistics (GBAS) defines the angles between the lines connecting each boundary point with the rest of the points, as random variable. Then, it assigns a feature vector to each point using the moments of beam angles. The proposed matching algorithm performs shape recognition by ma...
Shape : representation, description, similarity and recognition Arıca, Nafiz; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2003) In this thesis, we study the shape analysis problem and propose new methods for shape description, similarity and recognition. Firstly, we introduce a new shape descriptor in a two-step method. In the first step, the 2-D shape information is mapped into a set of 1-D functions. The mapping is based on the beams, which are originated from a boundary point, connecting that point with the rest of the points on the boundary. At each point, the angle between a pair of beams is taken as a random variable to define...
Prediction of slip in cable-drum systems using structured neural networks KILIÇ, Ergin; Dölen, Melik (SAGE Publications, 2014-02-01) This study focuses on the slip prediction in a cable-drum system using artificial neural networks for the prospect of developing linear motion sensing scheme for such mechanisms. Both feed-forward and recurrent-type artificial neural network architectures are considered to capture the slip dynamics of cable-drum mechanisms. In the article, the network development is presented in a progressive (step-by-step) fashion for the purpose of not only making the design process transparent to the readers but also hig...
Optimum design of steel structures via differential evolution algorithm and application programming interface of SAP2000 Dedekargınoğlu, Özgür; Hasançebi, Oğuzhan; Department of Civil Engineering (2012) The objective of this study is to investigate the use and efficiency of Differential Evolution (DE) method on structural optimization. The solution algorithm developed with DE is computerized into software called SOP2011 using VB.NET. SOP2011 is automated to achieve size optimum design of steel structures consisting of 1-D elements such as trusses and frames subjected to design provisions according to ASD-AISC (2010) and LRFD-AISC (2010). SOP2011 works simultaneously with the structural analysis and design ...

Citation Formats

Z. S. Tarı and H. Pien, “Computationally efficient shape analysis via level sets,” San-Francisco, USA, 1996, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0029695562&origin=inward.