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Nodule detection is a vital step in computer-aided diagnosis (CAD) system, for its accuracy can greatly influence the reliability of the system. Many researchers have proposed lots of effective filters to detect nodules. However, these filters have limitations, such as changing the nodules shapes and sizes. This paper proposes a modified Difference of Gaussian (DoG) detector for pulmonary nodule location...
In this paper, a simple and fast algorithm was proposed to detect face. Firstly, some interest points marking skin regions were searched by only using simple chrominance Cr information instead of simultaneously using chrominance Cr and Cb. And then, a conventional and popular AdaBoost algorithm was employed to make a decision whether around the detected interest points was there face and then located...
Traditional agent-based modeling is inaccurate and not standard in building network active defense model. To solve such problems, this paper gives the model process of DDoS active defense based on multi-agent. The process models the system from static and dynamic aspects. At the same time, the paper proposes “Goal-Rule-Learn” hybrid agent structure model and “Autonomous-Cooperation-Fight” agent behavioral...
A new method is proposed to address the problem of template drift, a common phenomenon in which the target gradually shifts away from the template in object tracking. This paper integrates drift monitoring and drift correction with template matching. During the tracking based on template matching, drift is corrected once it is detected. The robustness and practicality of the method have been proven...
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