Zhaobin Wang

Learn More
Manual bacteria classification is a tedious work which often needs abundant correlative data and also takes a great deal of time and energy. Combining pattern recognition and new neural network, we propose an approach of bacteria classification based on morphometrics using artificial neural network. The neural network is applied to extract the feature. The(More)
The electrical contact resistance of two spherical contacts with coating is studied by using analytical method and finite-element method simulation software. The effects of contact radius, coating thickness, and the ratio of substrate to coating in electrical resistivity are evaluated over a large range of aspect ratios. The total electrical contact(More)
A new organocatalytic transfer hydrogenation strategy for the asymmetric synthesis of 1,1-diarylethanes is described. Under mild conditions, a range of 1,1-diarylethanes substituted with an o-hydroxyphenyl or indole unit could be obtained with excellent efficiency and enantioselectivity. We also extended the protocol to an unprecedented asymmetric(More)
In this paper, a novel algorithm for microscopic color cell image edge detection based on Pulse Coupled Neural Networks (PCNN) is presented. Microscopic color image edge detection has proven to be a difficult task due to uneven brightness, cross-color existing between cell boundary and background caused by dyeing and noise. To solve these problems, this(More)
This paper presents a technique for improving the accuracy and robustness of the high speed background subtraction method called ViBe at very limited additional cost. Despite the through-output efficiency of ViBe, which is suitable for embedded in smart camera, it also incorporates several innovative mechanisms differing from those classical algorithms,(More)
Plant recognition recently becomes more and more attractive in computer vision and pattern recognition. Although some researchers have proposed several methods, their accuracy is not satisfactory. Therefore, a novel method of plant recognition based on leaf image is proposed in the paper. Both shape and texture features are employed in the proposed method(More)
Plant is closely related to humans. How to quickly recognize an unknown plant without related professional knowledge is a huge challenge. With the development of image processing and pattern recognition, it is available for plant recognition based on the technique of image processing. Pulse-coupled neural network is a powerful tool for image processing. It(More)