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Accurate cell segmentation is an important and long-standing challenge in biomedical image analysis due to large variations in shape and boundary ambiguity. In this paper, we present a segmentation framework for partially overlapping cervical cells. The proposed method starts by cellular clump estimation with morphological reconstruction. Subsequently, the nuclei inside the cellular clumps are located...
The design processes and methods of PHM system based on HMM have been investigated. HMM has some advantage in terms of dealing with small sample size and high discerning accuracy. The rationality of sensors set which is based on the hidden Markov model has been evaluated from quantitative point of view. Then the evaluating method of different sensor sets based on HMM has been put forward. At last,...
Taking the technology of the processing and utilization of coal resource and clean coal technology as its characteristic, the discipline of mineral processing engineering of China University of Mining and Technology (CUMT) is a Chinese national key discipline, and it has formed a passel of world advanced research achievements and became an important base for the education and scientific research of...
The testing and launching control system of missile which doesn't have the abilities of fault setting and the evaluation of training effect, is inconvenient in the function extension and circuit maintenance. To resolve these outstanding problems, a new method to design and establish the physical model of the circuit of testing and launching control system by use of the object-oriented technology is...
A brain-computer interface (BCI) is a communication system that doesnpsilat depend on brain's normal output pathways of peripheral nerves and muscles. In this paper, a semi-supervised learning algorithm for BCI based on features combining is proposed aiming at reducing the training process. In order to obtain more stable and effective classification information, two kinds of features are extracted...
Neural network arithmetic was employed in incomplete points cloud data surface reconstruction, Radial basis function neural network and simulated annealing arithmetic was combined. The new arithmetic can approach any nonlinear function by arbitrary precision, and also keep the network from getting into local minimum. Global optimization feature of simulated annealing was employed to adjust the network...
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