The paper proposed a new method based on the multi-edited nearest neighbor rule to prevent decision tree algorithms from growing a tree of unnecessary large size and hence partially alleviate the problem of "over...
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Microscopic halftone imagerecognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant s...
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Microscopic halftone imagerecognition and analysis can provide quantitative evidence for printing quality control and fault diagnosis of printing devices, while halftone image segmentation is one of the significant steps during the procedure. Automatic segmentation on microscopic dots by the aid of the Fuzzy C-Means (FCM) method that takes account of the fuzziness of halftone image and utilizes its color information adequately is realized. Then some examples show the technique effective and simple with better performance of noise immunity than some usual methods. In addition, the segmentation results obtained by the FCM in different color spaces are compared, which indicates that the method using the FCM in the f1f2f3 color space is superior to the rest.
To meet the challenge of implementing rapidly advanced, time-consuming medical imageprocessing algorithms, it is necessary to develop a medical imageprocessing technology to process a 2D or 3D medical image dynamica...
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To meet the challenge of implementing rapidly advanced, time-consuming medical imageprocessing algorithms, it is necessary to develop a medical imageprocessing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static imageprocessing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the advanced image routines and enable users to access large dataset and resources according to the requirements of medical applications. The experiment in this paper shows that the medical image dynamic processing method implemented on the web by using Java and the CORBA is feasible.
Automatic parameters selection is an important issue to make support vector machines (SVMs) practically useful. Most existing approaches use Newton method directly to compute the optimal parameters. They treat paramet...
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Recent developments in computer vision are providing powerful tools for the evaluation of data gathered by art historians and archaeologists. New camera hardware allows new insights into cultural heritage, especially ...
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A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such interventions are currently extensive and exist throughout every phase of a 3D reconstruct...
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A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not ...
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A novel evolutionary route planner for aircraft is proposed in this paper. In the new planner, individual candidates are evaluated with respect to the workspace, thus the computation of the configuration space is not required. By using problem-specific chromosome structure and genetic operators, the routes are generated in real time, with different mission constraints such as minimum route leg length and flying altitude, maximum turning angle, maximum climbing/diving angle and route distance constraint taken into account.
Irregular pyramids are made of a stack of successively reduced graphs embedded in the plane. Each vertex of a reduced graph corresponds to a connected set of vertices in the level below. One connected set of vertices ...
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Automatic unloading of piled box-like objects is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: we employ a laser range finder for data acquisition...
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Automatic unloading of piled box-like objects is undoubtedly of great importance to the industry. In this contribution a system addressing this problem is described: we employ a laser range finder for data acquisition, and globally deformable superquadrics for object modeling. Our technique is based on a hypothesis generation and refinement scheme. The vertices of the piled objects are extracted and superquadric seeds are aligned at these vertices. The model parameter recovery task is decomposed into two subproblems, each dealing with a subset of the model's parameter set. Both region and boundary based information sources are used for parameter estimation. Compared to a widespread strategy for superquadric recovery, our method shows advantages in terms of robustness and computational efficiency. In addition, our system exhibits versatility with regard to existing industrial systems, since it can effectively deal with both neatly placed and jumbled configurations of objects.
In this paper, we analyze the traditional algorithm (Circle->Phase) in the traffic-control system. And we propose a new algorithm that is proved better than the former one. By traffic flow simulation using advanced...
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ISBN:
(纸本)0780381254
In this paper, we analyze the traditional algorithm (Circle->Phase) in the traffic-control system. And we propose a new algorithm that is proved better than the former one. By traffic flow simulation using advanced TSIS software, we get statistic data to analyze the characteristic of downstream traffic flow (DTF). Based on the mathematic model of DTF, we bring forward an algorithm to quickly decide the phase length and circle length. The algorithm adopts the real-time information according to required flow with the aim of minimizing the surplus time in each phase. It can adapt to any kind of traffic flow and has a high degree of flexibility.
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