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» Unseeded Region Growing for 3D Image Segmentation
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VIP
2000
13 years 9 months ago
Automatic Extraction of Lung Boundaries by a Knowledge-Based Method
The aim of this paper is to develop accurate and reliable methods for automated detection of the edges of the lung by a knowledge-based approach. First, the system initialises the...
Mira Park, Laurence S. Wilson, Jesse S. Jin
MICCAI
2007
Springer
14 years 8 months ago
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
ICIP
2006
IEEE
14 years 9 months ago
Developing an Efficient Region Growing Engine for Image Segmentation
Image segmentation is a crucial part of image processing applications. Currently available approaches require significant computer power to handle large images. We present an effi...
Emanuel Gofman
VRCAI
2009
ACM
14 years 2 months ago
Segmentation of architecture shape information from 3D point cloud
Object Segmentation is an important step in object reconstruction from point cloud data of complex urban scenes and in applications to virtual environment. This paper focuses on s...
Xiaojuan Ning, Xiaopeng Zhang, Yinghui Wang, Marc ...
DAGM
2005
Springer
14 years 1 months ago
A Method for Fast Search of Variable Regions on Dynamic 3D Point Clouds
The paper addresses the region search problem in three-dimensional (3D) space. The data used is a dynamically growing point cloud as it is typically gathered with a 3D-sensing devi...
Eric Wahl, Gerd Hirzinger