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Detection of wideband communication signals is critical for cognitive radio (CR) as it enables secondary users to dynamically access the unoccupied bands. However, accurate and fast spectrum sensing is still a challenge in low signal to noise ratio (SNR) environment. To encounter this problem, a feature detector based on compressed sensing (CS) and wavelet transform (WT) (CS-WT feature detector) is...
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...
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...
Thermography captures the temperature distribution of the human skin and is employed in various medical applications. Techniques for automaticaly retrieving medical images based on their content have shown to be useful and are highly sought after. In this paper we show that efficient and effective content-based retrieval of medical thermograms can be performed directly in the compressed domain of...
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