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Science and Technology Studies

University of Wollongong

Faculty of Engineering and Information Sciences - Papers: Part A

2009

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Articles 1 - 2 of 2

Full-Text Articles in Engineering

Unified Geometric Calibration And Image Registration For Detached Small Animal Spect/Ct, Xuezhu Zhang, Fangfu Chen, Yongping Li, Qin Wei, Yujin Qi Jan 2009

Unified Geometric Calibration And Image Registration For Detached Small Animal Spect/Ct, Xuezhu Zhang, Fangfu Chen, Yongping Li, Qin Wei, Yujin Qi

Faculty of Engineering and Information Sciences - Papers: Part A

The aim of this study is to develop a unified optimization method to estimate the complete parameters about geometric calibration of system misalignment for both cone-beam CT and pinhole SPECT, and parameters about coordinate transformation of image registration for these detached systems. The uniform projection equations are derived for both cone-beam and pinhole imaging geometry. Complete geometric parameters are estimated by point object phantom with a priori relative position information. The cost function is structured as the least-squares about residual error. The implementation of nonlinear estimation utilizes the Powell method so as to constrain the optimization problem of this study …


Pavement Scene Interpretation And Obstacle Detection By Large Margin Image Labeling, Ke Jia, Nianjun Liu, Lei Wang, Li Cheng Jan 2009

Pavement Scene Interpretation And Obstacle Detection By Large Margin Image Labeling, Ke Jia, Nianjun Liu, Lei Wang, Li Cheng

Faculty of Engineering and Information Sciences - Papers: Part A

This paper presents a novel discriminative approach for pave-ment scene understanding and obstacle detection in real-world images. It overcomes the heavy constraints in previous systems such as a simple background, a specic obstacle, etc. The approach we exploited extends the bundle method to incorporate pairwise correlations among neighboring pixels, and adopts graph-cuts as the inference engine to attain the approximation efficiently. A set of robust features on both local and multi-scale level is also introduced that captures the general statistical properties of pavements and obstacles. The proposed approach is validated on real-world image database, and outperforms the current state-of-the-art visioned-based …