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Image segmentation is an important and classic problem in image processing and computer vision. Thresholding is applied to many fields, because of its less computation and stable performance. The key of thresholding method is to determine the adaptive threshold. In order to segment biological image effectively, a new adaptive thresholding method is proposed. First, two dimension minimum entropy is...
This paper studies how to construct cluster ensembles for high dimensional data. We examine a different approach to constructing cluster ensembles. To address high dimensionality, we focus on ensemble construction methods that build on a popular dimension reduction techniques, Locally Linear Embedding (LLE). Our ensemble constructor is based on random projection in LLE subspace. We present evidence...
Program slicing has been proven to be an effective approach to aid program understanding in recent years. A dynamic program slicer computes the set of instructions that may have affected or been affected by the given variable in certain location of the instruction stream. In this paper, we implement a dynamic forward slicer SPS which can extract the part of the code which is influenced by the user,...
In order to overcome the defect of physic-chemical monitoring system and enhance the intelligence of biological monitoring technology, an online monitoring system of fish behavior is proposed in this paper. The main contributions of this system are as follows: 1) adaptive background updating algorithm (ABU); 2) automatic camshift tracking algorithm (ACT) with twice searching; 3) particle filter tracking...
Position information of individual node is very useful in wireless sensor network(WSN). In this paper, we proposed two improved DV-Hop algorithms and integrated them reasonably into a self-adaptive positioning algorithm called SAP which includes two modes. Rough-precision mode uses DV-Hop I algorithm and high-precision mode uses DV-Hop II algorithm. In SAP, the first mode saves the energy consumption,...
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