Xiangwei Zhang

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A computer-aided diagnosis (CAD) system to detect small-size (from 2 mm to around 10 mm) pulmonary nodules in helical CT scans is developed. This system uses different schemes to locate juxtapleural nodules and non-pleural nodules. For juxtapleural nodules, morphological closing, thresholding and labeling are performed to obtain volumetric nodule(More)
This paper through a case study presents an application procedure for haptic modeling in reverse engineering based on physical objects. Starting from the import of a dataset digitized from a physical object, by 3D touch the final digital prototype for reconstruction can be sculpted, smoothed, etc. to form a shape of interest. Afterwards, patches can be(More)
Election campaign algorithm (ECA) is a new heuristic optimization algorithm, it acts by simulating the behavior that the election candidates pursue the highest support in campaign all along. Test functions are applied to verify the ECA. The computational results show that ECA is able to find out the global solution entirely.
A new physically based model for the shape modification of B-spline curve with geometric constraints is presented. The deformation energy of the B-spline curve is minimized based on finite element method, while geometric constraints can be imposed to control the modified shape. By changing the external force, different methods of modification can be(More)
In this paper, we present a new method using Election campaign algorithm (ECA) combining with the dynamic penalty method to solve the nonlinear constrained optimization problems. The proposed approaches are validated using several examples taken from the optimization literature, and our results are compared with those obtained by particle swarm optimization(More)
In this paper, we present a new algorithm named Election campaign algorithm (ECA) for the multimodal function optimization. It acts by simulating the behavior that the election candidates pursue the highest support in election campaign. The proposed approaches are validated using test functions taken from the specialized literature, and our results are(More)
Election campaign algorithm (ECA) is a new heuristic optimization algorithm, it acts by simulating the behavior that the election candidates pursue the highest support in campaign all along. In ECA, the whole searching space is imagined to be assembly of voters, and the current solutions are imagined to be the election candidates. The candidates can(More)
The tasks of extracting the 3D geometric features such as lines, corners, and planes play an important role in 3D modeling. This paper presents a novel 3D planar extracting algorithm based on fuzzy clustering. Our objective is focused on developing a set of techniques for the automatic extraction of 3D indoor models with robots, which is motivated by the(More)