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As we all know, speckle noise exist in ultrasound and radar images, and it brings bad affection to image analysis, like image segmentation, image fusion and image registration. So far, many diffusion methods have been put forward to remove speckle noise, but they all have some defections because their diffusion models are unsuitable for speckle noise. In this paper, a novel speckle remove method based...
Segmentation of medical ultrasound images is one of the most important functional components of medical ultrasonic instruments for computed aided diagnosis, such as breast lesion early detection and measurement. However, the segmentation of breast lesions from ultrasound images is still a challenging task due to the variance in shape of the lesions and interference from speckle noise. In this paper,...
This paper address on the classification of mental task EEG signals, which is one of the key issues of Brain-Computer Interface (BCI). We proposed a method using wavelet packet entropy and Support Vector Machine (SVM). First, we apply 7 levels wavelet packet decomposition to each channel of EEG with db4. After extraction four spectrum bands (delta,thetas,alpha, beta), an entropy algorithm was performed...
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