This paper presented a new method to obtain the statistical relation between image features and matching probability. After integrating the Gabor wavelet features and some other parameters as matching area measures, t...
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This paper presented a new method to obtain the statistical relation between image features and matching probability. After integrating the Gabor wavelet features and some other parameters as matching area measures, this paper uses the support vector machine (SVM) classification method to transform the estimation of matching probability problem into a classifying one. The experiments show that the proposed method not only has faster computation speed than the method based on the correlation functions, but also gives a reasonable precise estimation.
An efficient approach of using multi-level wavelet transform and co-occurrence matrix for texture defect detection was proposed. The defective image is firstly decomposed into approximation and detail sub-images at va...
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An efficient approach of using multi-level wavelet transform and co-occurrence matrix for texture defect detection was proposed. The defective image is firstly decomposed into approximation and detail sub-images at various levels by wavelet transform. Then, the co-occurrence matrix features of the detail sub-images are computed and analyzed to decide the appropriate level at which the approximation sub-images are reconstructed into non-texture images for defect detection. The experimental results show that this approach is efficient both in speed and performance.
An algorithm for unsupervised linear discriminant analysis was presented. Optimal unsupervised discriminant vectors are obtained through maximizing covariance of all samples and minimizing covariance of local k-neares...
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An algorithm for unsupervised linear discriminant analysis was presented. Optimal unsupervised discriminant vectors are obtained through maximizing covariance of all samples and minimizing covariance of local k-nearest neighbor samples. The experimental results show our algorithm is effective.
Based on the statistic and the fuzzy uncertainty information in an image, a new fuzzy information gain method was proposed to measure the distinctness between the object image and the reference image, which provides a...
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Based on the statistic and the fuzzy uncertainty information in an image, a new fuzzy information gain method was proposed to measure the distinctness between the object image and the reference image, which provides a new criterion for image matching or retrieval. The experimental results demonstrate the effectiveness of the new method.
Many problems in image representation and classification involve some form of dimensionality reduction. Nonnegative matrix factorization （NMF） is a recently proposed unsupervised procedure for learning spatially loc...
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Many problems in image representation and classification involve some form of dimensionality reduction. Nonnegative matrix factorization （NMF） is a recently proposed unsupervised procedure for learning spatially localized, partsbased subspace representation of objects. An improvement of the classical NMF by combining with Log-Gabor wavelets to enhance its part-based learning ability is presented. The new method with principal component analysis （PCA） and locally linear embedding （LIE） proposed recently in Science are compared. Finally, the new method to several real world datasets and achieve good performance in representation and classification is applied.
This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specilied...
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This paper investigated the performances of a well-known car-following model with numerical simulations in describing the deceleration process induced by the motion of a leading car. A leading car with a pre-specilied speed profile was used to test the above model. The results show that this model is to some extent deficient in performing the process aforementioned. Modifications of the model to overcome these deficiencies were demonstrated anda modified car-following model was proposed accordingly. Furthermore, the delay time of car motion of the new model were studied.
A novel dominant correlogram based particle filter was proposed for an object tracking in visual surveillance. Particle filter outperforms the Kalman filter in non-linear and non-Gaussian estimation problem. This pape...
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A novel dominant correlogram based particle filter was proposed for an object tracking in visual surveillance. Particle filter outperforms the Kalman filter in non-linear and non-Gaussian estimation problem. This paper proposed incorporating spatial information into visual feature, and yields a reliable likelihood description of the observation and prediction. A similarity-ratio is defined to evaluate the effectivity of different similarity measurements in weighing samples. The experimental results demonstrate the effective and robust performance compared with the histogram based tracking in traffic scenes.
This paper presents a level of detail (LOD) selection algorithm for multi-resolution volume rendering using 3D texture mapping. It uses an adaptive scheme that renders the volume in a region-of-interest at a high reso...
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Based on the study of the characteristics of humans' vision system, this paper designed a new algorithm of medical image compression and combined the masking feature of human vision system and the three component ...
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Based on the study of the characteristics of humans' vision system, this paper designed a new algorithm of medical image compression and combined the masking feature of human vision system and the three component model of the image. The experiments were done on the medical images including CT and MRI. The results show that under the same compression ratio, the method used in the paper can achieve better subjective visual quality. The compression ratio can reach 16:1, if the visually lossless effect is required, i.e., almost all the relevant medical information is reserved.
Due to their very small contact areas and low cost, swipe fingerprint sensors provide the very convenient and reliable fingerprint security solutions and are being increasingly used for mobile phones, PDAs, portable c...
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