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Objective: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic resonance imaging (MRI). Methods: It was achieved by patch-based sparse representation (SR), using the training samples with a complete set of MRI, L-PET...
An approach of ant colony optimization combing gradient and relative difference of statistical means to image edge detection is proposed in this paper. The values of gradient and the relative difference of statistical means are extracted for the ants' searching. Experimental results show that the superior performances of the proposed algorithm.
An edge detection algorithm that combines an ant colony optimization (ACO) and statistical estimation is presented in this paper. The pheromone which can steer the movement of ant is decided by the information of statistical estimation of the pixel's circular neighborhood. The superior performances are shown in the experimental results.
The traditional methods of image edge detection are sensitive to the noise comparatively and can not locate the edge exactly. Aiming at the shortage of the traditional methods of image edge detection, the paper puts forward the edge detection of the low signal noise ratio image (the low SNR image) according to the local feature. Firstly, we analyze the relationship of the neighborhood of pixels and...
This paper presents a novel procedure for the salt-and-pepper noise remove on the local edge-preserving function. In the first phase, adaptive median filter is used to detect noisy pixels. In the second phase, local edge-preserving function is built. In the third phase, a minimization problem is solved by the Poly-Ribiere-Polak (PRP) method. Through the improvement on minimum allowed window size and...
Accuracy of statistical face recognition is determined by face's distributed feature. Applying statistical recognition to faces without obvious distributed feature is meaningless. But such faces can be classified by subtle differences between local features. So local feature based face recognition by obtaining local feature and its dimension is proposed in this paper. Experiments show that, the algorithm...
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