Sciweavers

258 search results - page 41 / 52
» Noisy Image Segmentation Based on a Level Set Evolution
Sort
View
ICVGIP
2004
15 years 1 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2010
IEEE
15 years 6 months ago
Motion Estimation with Non-Local Total Variation Regularization
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principle...
Manuel Werlberger, Thomas Pock, Horst Bischof
WSCG
2003
191views more  WSCG 2003»
15 years 1 months ago
Binary Histogram in Image Classification for Retrieval Purposes
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
VISUALIZATION
2002
IEEE
15 years 4 months ago
Geometric Surface Smoothing via Anisotropic Diffusion of Normals
This paper introduces a method for smoothing complex, noisy surfaces, while preserving (and enhancing) sharp, geometric features. It has two main advantages over previous approach...
Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, S...

Publication
204views
14 years 8 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi