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IJCV
2007
155views more  IJCV 2007»
9 years 7 months ago
Reverse Optical Flow for Self-Supervised Adaptive Autonomous Robot Navigation
Autonomous mobile robot navigation, either off-road or on ill-structured roads, presents unique challenges for machine perception. A successful terrain or roadway classifier must ...
Andrew Lookingbill, John Rogers, David Lieb, J. Cu...
TSMC
2008
138views more  TSMC 2008»
9 years 8 months ago
Image Thresholding Using Graph Cuts
A novel thresholding algorithm is presented in this paper to improve image segmentation performance at a low computational cost. The proposed algorithm uses a normalized graphcut m...
Wenbing Tao, Hai Jin, Yimin Zhang, Liman Liu, Desh...
JEI
2007
199views more  JEI 2007»
9 years 8 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
TIP
2008
153views more  TIP 2008»
9 years 8 months ago
Generalized Flooding and Multicue PDE-Based Image Segmentation
Image segmentation remains an important, but hard-to-solve, problem since it appears to be application dependent with usually no a priori information available regarding the image ...
Anastasia Sofou, Petros Maragos

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saintqddStudent, Msc
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saintqdd
love math and everything on math
PAMI
2006
440views more  PAMI 2006»
9 years 8 months ago
Random Walks for Image Segmentation
Abstract-- A novel method is proposed for performing multilabel, interactive image segmentation. Given a small number of pixels with user-defined (or pre-defined) labels, one can a...
Leo Grady
PR
2008
97views more  PR 2008»
9 years 8 months ago
A vision-based method for weeds identification through the Bayesian decision theory
One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. Thi...
Alberto Tellaeche, Xavier P. Burgos-Artizzu, Gonza...
CVIU
2007
128views more  CVIU 2007»
9 years 8 months ago
Iterative relative fuzzy connectedness for multiple objects with multiple seeds
In this paper we present a new theory and an algorithm for image segmentation based on a strength of connectedness between every pair of image elements. The object definition use...
Krzysztof Ciesielski, Jayaram K. Udupa, Punam K. S...
JACIII
2006
97views more  JACIII 2006»
9 years 8 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
9 years 8 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...
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