Sciweavers

ICIP
2010
IEEE
13 years 2 months ago
Edge-adaptive image segmentation based on seam processing and K-Means clustering
A new image segmentation method is proposed to combine the edge information with the feature-space method, K-Means clustering. A procedure called seam processing, which is computa...
Tse-Wei Chen, Hsiao-Hang Su, Yi-Ling Chen, Shao-Yi...
IAJIT
2010
230views more  IAJIT 2010»
13 years 3 months ago
An Unsupervised Artificial Neural Network Method for Satellite Image Segmentation
: Image segmentation is an essential step in image processing. The goal of segmentation is to simplify and/or to change the representation of an image into a form easier to analyze...
Mohamad Awad
PAMI
2008
137views more  PAMI 2008»
13 years 4 months ago
IRGS: Image Segmentation Using Edge Penalties and Region Growing
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
Qiyao Yu, David A. Clausi
CGVR
2006
13 years 6 months ago
Image Reconstruction Scheme for Watersheds based Video Segmentation
- In this paper, we proposed a new solution to the reconstruction of image in order to solve the oversegmentation problem of watershed transformation which is widely used as an ima...
Hyun Sil Sin, Hyun Woo Park, Hwang Kyu Yang, Tae S...
MVA
2007
221views Computer Vision» more  MVA 2007»
13 years 6 months ago
Automatic Cobb Angle Measurement System by Using Nuclear Medicine Whole Body Bone Scan
Evaluation of scoliosis is performed traditionally by means of standing posterior-anterior radiographs of the full spine to assess lateral curvature with the Cobb method. In this ...
Jia-Yann Huang, Pan-Fu Kao, Yung-Sheng Chen
EMMCVPR
2005
Springer
13 years 10 months ago
Edge Strength Functions as Shape Priors in Image Segmentation
Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and...
Erkut Erdem, Aykut Erdem, Sibel Tari
ICIP
2007
IEEE
13 years 11 months ago
Modeling vs. Segmenting Images Using A Probabilistic Approach
Image segmentation is conventionally formulated as a pixellabeling problem, in which “hard” decisions have to be made to partition pixels into regions. As image segmentation i...
Datong Chen
ICPR
2006
IEEE
14 years 5 months ago
Bottom-Up Hierarchical Image Segmentation Using Region Competition and the Mumford-Shah Functional
This paper generalizes the methods in a previous paper [10] in two ways. First, a more comprehensive analysis of the initialization problem of the Chan-Vese models is given. Secon...
J. Douglas Birdwell, Seddik M. Djouadi, Yongsheng ...
MICCAI
2008
Springer
14 years 5 months ago
Automatic Guidance of an Ultrasound Probe by Visual Servoing Based on B-Mode Image Moments
We propose a new visual servo approach to automatically control in real-time the full motion of a 2D ultrasound (US) probe held by a medical robot in order to reach a desired image...
Rafik Mebarki, Alexandre Krupa, Christophe Colle...
ICIP
2006
IEEE
14 years 6 months ago
Image Segmentation using Salient Points-Based Object Templates
Using prior knowledge about object(s) is beneficial for accurate image segmentation. We present an image segmentation method that performs segmentation using a set of user provide...
Hui Zhang, Sally A. Goldman