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This paper presents a fast vehicle recognition and vehicle retrieval system based on “bag of words”. In this system, the input is an image of vehicle and the vehicle will be identified automatically, it can also retrieve images which are similar to the input image. 3742 vehicle images which include 28 types of vehicles are collected as the image database. Features of these images are extracted and...
Based on the optical theory and digital image processing, the micro stereo imaging principle of Stereo Light Microscope (SLM) is studied and a SLM based micro stereo vision system is developed to improve three key problems including accuracy, speed and stability in Micro Electro Mechanical Systems (MEMS). In this paper, the system including micro stereo vision algorithms and hardware is introduced,...
The research of microfluidic chip is a vital domain and the forefront of micro total analysis systems (μTAS). Compared with the development of microfluidic chip, the research of detecting systems for microfluidic chip is backward. The micro stereo vision system is a good solution for non-contact measurement of microfluidic chip. However, it often meets refraction of light and occlusion. In this paper,...
The problem that the shoeprints found at crime scenes are often poor quality and with lots of noise causes much trouble when extracting the basic shapes and later classifying the database of shoeprint images automatically. In this paper we present a shoeprint image retrieval method based on odd and even Gabor filter. The method combines odd and even Gabor filter to extract the texture and geometry...
In order to improve the boundary effect of wavelet decomposition in runoff forecast, a new analogical boundary extension mode is proposed based on the similarity measurement. The extension mode can characterize the self-correlation of the runoff sequence excellently with the local similarities on the wavelet multi-scale spaces. The case study of the runoff forecast indicates that the analogical boundary...
This paper targets efforts to integrate rough set theory and the fuzzy inference technique into the multi-element medium and long-term hydrological forecast. Rough set theory is used to predigest the data and deal with the redundant inconsistent initial information table. Accordingly, the factors are reduced with the attribute significance concept. The minimal solution which is as fuzzy inference...
Rough set theory and the fuzzy inference technique are integrated into the multi-factor medium and long-term hydrological classified forecast to solve the difficult problem of factors' choice. The attribute reduction algorithm is used to choose the essential forecast factor sets whose classification capabilities are the best. Other forecast factor sets meeting the forecast requirement are looked after...
Ocean pollution due to marine oil spill accidents occurred continually is a major environmental hazard highlighted. For this, satellite is a well-known effective tool, and especially synthetic aperture radar (SAR) can fill the lack of pollution survey which affects seas and coasts. Edge detection is an essential pre-process for marine oil spill because it involves the identification and classification...
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