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ISVC
2010
Springer
13 years 7 months ago
Modified Region Growing for Stereo of Slant and Textureless Surfaces
In this paper, we present an algorithm for estimating disparity for images containing large textureless regions. We propose a fast and efficient region growing algorithm for estima...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...
MVA
1992
13 years 7 months ago
A Hybrid Approach towards Segmentation of Range Images
This paper presents a technique for the segmentation of range images. It tends to be a hybrid approach that combines edge detection and region growing techniques toward accomplish...
Alan Wui Tze Lim, Eam Khwang Teoh, Dinesh P. Mital
VIP
2000
13 years 7 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
BMVC
1998
13 years 7 months ago
Efficient Dense Matching for Textured Scenes using Region Growing
We present a simple and efficient dense matching method based on region growing techniques, which can be applied to a wide range of globally textured images like many outdoor scen...
Maxime Lhuillier
CBMS
2007
IEEE
13 years 8 months ago
Comparison of 3D Segmentation Algorithms for Medical Imaging
In this paper we present an evaluation of four different 3D segmentation algorithms with respect to their performance on three different CT Data Sets. The segmentation algorithms ...
Hakan Bulu, Adil Alpkocak
CAIP
2001
Springer
165views Image Analysis» more  CAIP 2001»
13 years 11 months ago
A New Approach for Model-Based Adaptive Region Growing in Medical Image Analysis
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
Regina Pohle, Klaus D. Tönnies
CAIP
2001
Springer
13 years 11 months ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...
VISUALIZATION
2003
IEEE
13 years 11 months ago
Visualizing Industrial CT Volume Data for Nondestructive Testing Applications
This paper describes a set of techniques developed for the visualization of high-resolution volume data generated from industrial computed tomography for nondestructive testing (N...
Runzhen Huang, Kwan-Liu Ma, Patrick S. McCormick, ...
PG
2003
IEEE
13 years 11 months ago
RGVis: Region Growing Based Techniques for Volume Visualization
Interactive data visualization is inherently an iterative trial-and-error process searching for an ideal set of parameters for classifying and rendering features of interest in th...
Runzhen Huang, Kwan-Liu Ma
CIARP
2007
Springer
14 years 19 days ago
Image Segmentation Using Automatic Seeded Region Growing and Instance-Based Learning
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
Octavio Gómez, Jesús A. Gonzá...