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» An Adaptive Level Set Method for Medical Image Segmentation
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ICPR
2002
IEEE
15 years 10 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
IJCV
2007
189views more  IJCV 2007»
14 years 9 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
SCALESPACE
2007
Springer
15 years 3 months ago
Detecting Regions of Dynamic Texture
Abstract. Motion estimation is usually based on the brightness constancy assumption. This assumption holds well for rigid objects with a Lambertian surface, but it is less appropri...
Tomer Amiaz, Sándor Fazekas, Dmitry Chetver...
NIPS
2008
14 years 11 months ago
Recursive Segmentation and Recognition Templates for 2D Parsing
Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchical ...
Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan ...
BILDMED
2006
170views Algorithms» more  BILDMED 2006»
14 years 11 months ago
Fully-Automated Analysis of Muscle Fiber Images with Combined Region and Edge-Based Active Contours
This paper presents a new approach to automated muscle fiber analysis based on segmenting myofibers with combined region and edge based active contours. It provides reliable and fu...
Thomas Brox, Yoo-Jin Kim, Joachim Weickert, Wolfga...