Shape description and matching using integral invariants on eccentricity transformed images

Janan, Faraz and Brady, Michael (2015) Shape description and matching using integral invariants on eccentricity transformed images. International Journal of Computer Vision, 113 (2). pp. 92-112. ISSN 0920-5691

Documents
__network.uni_staff_S1_fjanan_RDS_Desktop_IJCV Journal.pdf

Request a copy
24368 25294 accepted.pdf
[img]
[Download]
24368 proof.pdf
[img]
[Download]
[img] PDF
__network.uni_staff_S1_fjanan_RDS_Desktop_IJCV Journal.pdf - Whole Document
Restricted to Repository staff only

6MB
[img]
Preview
PDF
24368 25294 accepted.pdf - Whole Document

2MB
[img]
Preview
PDF
24368 proof.pdf - Whole Document

6MB
Item Type:Article
Item Status:Live Archive

Abstract

Matching occluded and noisy shapes is a problem frequently encountered in medical image analysis and more generally in computer vision. To keep track of changes inside the breast, for example, it is important for a computer aided detection system to establish correspondences between regions of interest. Shape transformations, computed both with integral invariants (II) and with geodesic distance, yield signatures that are invariant to isometric deformations, such as bending and articulations. Integral invariants describe the boundaries of planar shapes. However, they provide no information about where a particular feature lies on the boundary with regard to the overall shape structure. Conversely, eccentricity transforms (Ecc) can match shapes by signatures of geodesic distance histograms based on information from inside the shape; but they ignore the boundary information. We describe a method that combines the boundary signature of a shape obtained from II and structural information from the Ecc to yield results that improve on them separately.

Keywords:Shape matchingShape correspondenceIntegral invariantEccentricity transformFast Marching Algorithm CADBreast cancer, Shape matching, Shape correspondence, Integral invariant, Eccentricity transform, Fast Marching Algorithm, CAD, Breast cancer, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
Related URLs:
ID Code:24368
Deposited On:31 Jan 2017 19:32

Repository Staff Only: item control page