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The traditional SIFT algorithm is popular to extract the feature points of target objects, but it also brings the feature points of non-target objects together, leading to mismatching. This paper proposes an improved SIFT algorithm based on adaptive threshold canny operator. In the proposed method, since it has the advantages of accurate edge detection and anti-noise ability, the adaptive threshold...
To satisfy performance of time registration, some of multi-sensor registration algorithms are discussed and a least square fitting method based on sliding window is proposed. The polynomial curve is fitted in each sliding window of registration time around using least square. And then, the value of registration time is calculated in this curve to implement aligning the sensor data in time. Compared...
Based on Canny operator and mathematical morphology, a new cell-based method for extracting the edge, being crucial to subsequent target feature extraction and image matching recognition, has been discussed in this paper. The image edge of cell is estimated by the Canny algorithm and then mathematical morphology is used for dilation which filled the fracture of the edge, with that the internal pore...
Noise interferences and the lack of observation data are two main problems when implementing blind source separation. This paper introduces a BASS method which eliminates noise interferences, and meanwhile, uses sparse component analysis to fit the undetermined situation. Firstly, based on the BASS mathematical model including linear noise affixed, we built a probability distributed model of the sparse...
In this paper, a new rate adaptive control algorithm is proposed based on study of JPEG2000 rate control algorithm, in order to reduce the amount of bits sent to the arithmetic coder, without any significant changes into the standard architecture and without loosing performance. After wavelet transform, the coefficient is modeled as Gaussian distribution, but remove the offspring of the lowest frequency...
One of main problems in image sparse decomposition is the contradiction between the quality of the image and the algorithm's speed. To overcome this key problem, a new fast algorithm is presented. At first the number of atoms is decreased by making use of the atom energy property; then this algorithm converts very time-consuming inner product calculations in sparse decomposition into correlations...
Image denoising, as a low-level step of image processing, is perhaps the oldest and still active research topic. A general formulation based on the variation of digitalized energy to denoise image is proposed in this paper. This method is different from classical variational method employed in image processing. For a digitalized energy functional, we first compute the variation, then design algorithms...
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