Visual reconstruction
Segmentation of Document Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recovery of Parametric Models from Range Images: The Case for Superquadrics with Global Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Unsupervised Texture Segmentation Using Markov Random Field Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A common framework for image segmentation
International Journal of Computer Vision
Parametrically deformable contour models for image analysis
Parametrically deformable contour models for image analysis
Image selective smoothing and edge detection by nonlinear diffusion. II
SIAM Journal on Numerical Analysis
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using deformable surfaces to segment 3-D images and infer differential structures
CVGIP: Image Understanding
Geometry-Driven Diffusion in Computer Vision
Geometry-Driven Diffusion in Computer Vision
Computer Vision
Image Segmentation by Unifying Region and Boundary Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Integration of Image Segmentation Maps using Region and Edge Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Recovering Hyperquadrics from Range Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Use of Active Shape Models for Locating Structures in Medical Images
IPMI '93 Proceedings of the 13th International Conference on Information Processing in Medical Imaging
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Image segmentation by reaction-diffusion bubbles
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
An improved time-adaptive self-organizing map for high-speed shape modeling
Pattern Recognition
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The wide availability of three- dimensional medical images has made their direct analysis a necessity. Accurately segmenting and quantifying structures is a key issue for such images. Conventional gradient- based surface finding however often suffers from a variety of limitations. This paper proposes a surface finding approach that uses in addition to gradient information, region information. This makes the resulting procedure more robust to noise and improper initialization. It uses Gauss's Divergence theorem to find the surface of of a homogeneous region-classified area in the image and integrates this with a grey level gradient-based surface finder. Experimental results show that indeed, as expected, a significant improvement is achieved as a consequence of the use of this extra information. Further, these improvements are achieved with little increase in computational overhead, an advantage derived from the application of Gauss's Divergence theorem.