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This paper presents a fast fractal encoding approach based on correlation information feature. To reduce the computational complexity of fractal encoding, the definition of correlation information feature is introduced and used to convert range-domain block matching to nearest neighbor search in the feature space. Correlation information feature can reflect the blocks' structural characteristic well...
Ensemble empirical mode decomposition (EEMD) is a noise-assisted adaptive data analysis method to solve the mode mixing problem caused by empirical mode decomposition (EMD), which is a significant step of Hilbert-Huang Transform (HHT). In this paper, a novel fast EEMD preferences algorithm called Quasi-Gradient Search (QGS) is proposed. For a given ensemble number, we first apply Nonlinear Correlation...
Mutual information (MI) has obvious potential for feature selection, but this has not been fully exploited in the past. In order to make numerical computation easier and more accurate, the MI of the whole multi-dimensional data can be decomposed into an amount of one-dimensional MI and one-dimensional conditional MI components. This paper reveals that using one-dimensional MI components to replace...
Many feature selection methods have been proposed in recent years, but there is little work concerning the evaluation of the performances with respect to different feature selection methods especially when the ground truth map is unavailable. In this paper, a new method called quantitative multivariate correlation analysis (QMCA) is proposed, which provides a quantitative measure of the useful information...
A programmable real-time system based on DSP and FPGA for the image object tracking is proposed. The high-performance fixed-point DSP TMS320DM643 as kernel processor is suitable for processing video signal. This paper presents in detail the work flow of the solution, the function and principle of components, such as preprocessing and OSD FPGA, the external memory interface, the transport and control...
Buried oil pipe third party damage (TPD) source location affected by the propagation mode characteristic and noise, a method to locate the pipe damaging source based on empirical mode decomposition (EMD) is presented. Through EMD analysis, TPD signals are decomposed into a series of IMF, each of which covers a specific frequency band, then select a few useful intrinsic mode function (IMF) by feature...
In order to further enhance the hyperspectral image compression, a new scheme based on JPEG2000 and nonlinear correlation measurement is proposed, in which nonlinear correlation coefficient (NCC) is used to guarantee the relationship between every source image and its compressed image is the same. Using the method, all the source images will be compressed in such a way that each compressed image just...
A global optimization technique for image registration using the concept of nonlinear correlation information entropy (NCIE) as the matching criterion is presented. The method makes it possible to efficiently overcome the local minima problem utilizing the extremum property of NCIE. Furthermore, the improved downhill simplex algorithm incorporated variant accuracy tolerance can reduce the evaluation...
Image compression is one of the most important processing techniques in hyperspectral image applications. A nonlinear quantitative measure for objectively accessing the performances of image compression techniques is proposed based on the scheme that image compression methods with better performances will maintain more information when compressing images with the same compression ratio, and the information...
In this paper a new approach to the problem of rigid body registration is proposed, using a concept of nonlinear correlation information entropy (NCIE) as the new matching criterion. The presented method applies NCIE to measure the correlation degree between the image intensities of corresponding voxel in both images. Registration is achieved by adjustment of the relative position until the NCIE between...
Color flow imaging plays a major role in the diagnosis of many vascular diseases, especially cardiovascular disease. A novel scheme is proposed to suppress velocity ambiguity induced by the narrowband estimators based on the two-dimensional correlation function model by incorporating with the wideband velocity estimation techniques. The basic idea is that the velocity is first estimated by narrowband...
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