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To eliminate the effects of illumination variation, the conventional approaches firstly produce a compensation-based face image under standard illumination from the input image and then match the image with the face templates in a database. This method is not inapplicable to the input image with large illumination variation. Therefore, a novel method for(More)
Statistical modeling of wavelet subbands has frequently been used for image recognition and retrieval. However, traditional wavelets are unsuitable for use with images containing distributed discontinuities, such as edges. Shearlets are a newly developed extension of wavelets that are better suited to image characterization. Here, we propose novel texture(More)
In this paper, we propose a fusion classification method based on reconstruction error and normalized distance for palmprint recognition. This method first obtains an approximate representation of the test sample by solving a linear system in which the test sample is assumed to be a linear combination of all the original training samples. Then it replaces(More)
Outlier detection is an integral part of data mining and has attracted much attention recently. It may be that an outlier implies the most important feature of a dataset. In this paper, some efficient measurements for improving the conventional algorithm kernel fuzzy K - means clustering algorithm (KFCM) are proposed. Firstly, we study the parameters(More)
The emerging multimedia social network is a convenient platform on which multimedia content, such as e-books, digital images, audios and videos can be distributed and shared. In the open network scenario, users can randomly share or spread digital contents protected by copyright; thus, Digital Rights Management (DRM) has become a growing problem. This(More)
Multi-wavelet is an extension from wavelet theory, and it has several particular advantages over scalar wavelet on image processing since the multi-wavelet analysis can offer a more precise method for image analysis than wavelet multi-resolution analysis can do. In this paper, two new image fusion algorithms are presented: One is based on image(More)
This paper surveys the state-of-the-art in wireless capsule endoscopy in terms of commercially available products and prototypes currently under development in research labs worldwide. Challenges facing us in designing and manufacturing active wireless capsule endoscopes are outlined, together with potential methods to tackle them.
This paper presents a new approach to extract image features for texture classification. The extracted features are obtained by a dominant-completed modeling of the traditional local binary pattern (LBP) operator, which is robust to image rotation, grey scale changing and insensitive to noise and histogram equalization. The main idea of this texture(More)
This paper considers the problems of dynamic output feedback H control for uncertain switched singular system with parametric uncertainties. A switching rule and a switched dynamic output feedback controller are designed to guarantee that the closed-loop system is asymptotically stable with a prescribed H disturbance attenuation level . Such sufficient(More)
An efficient method of face detection based on two-dimensional principal component analysis (PCA) incorporating with support vector machine (SVM) is proposed in this paper. Firstly, a 2DPCA coarse filter with relatively lower computational complexity is applied to the whole input image to filter out most of the non-face, then follows the SVM classifier to(More)