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Based on a large scale crime scene investigation (CSI) image database, an effective and efficient CSI image retrieval system has been proposed to empower the investigative work of the police force. The main contribution of this paper includes: (1) a DCT domain texture feature extraction algorithm is proposed for CSI images, which is shown to be simple and effective. (2) the use of GIST descriptor...
A theoretical relationship between the wavelet transform and the fast fourier transformation (FFT) methods in broadband wireless signal is proposed for solving the direction of arrivals (DOAs) estimation problem. This leads naturally to the derivation of minimum variance distortionless response (MVDR) algorithm, which combines the benefits of subspace methods with those of wavelet, and spatially smoothed...
SIFT features have been found to be effective in describing image textures. Because SIFT features have some great characteristics, such as translation invariance, zooming in and out invariance, spin invariance and affine invariance, etc, so the image retrieval precision is satisfactory usually. However, in Content Based Image Retrieval (CBIR), there are so many SIFT feature points extracted from an...
Criminal investigation image database retrieval is one of the key tasks in Forensic Science. Tire pattern is an important type of image data for crime scene investigation. It has been found that the rotation of tire pattern image has a great influence on retrieval precision. To relieve this problem, this paper proposes a new texture feature extraction method based on Radon transform, for more efficient...
By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern's eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The...
A novel image fusion method based on discrete wavelet packet transform (DWPT) is proposed. First, after the registration of multi-source sensor images, the obtained images are decomposed into several sub-images of different frequency bands by using wavelet packet transform. Second, aiming at the characteristic of the sub-images after decompositions, fusion rules based on local region are chosen to...
An image fusion method of 9/7 wavelet transform based on lifting scheme is proposed. After the registration of multi-source sensor images, the obtained images are decomposed into several coefficients of low frequency and high frequency by using 9/7 wavelet transform based on lifting scheme. Aiming at the characteristic of the coefficients of low frequency and high frequency after decomposition, fusion...
Brain-computer interface (BCI) can make people control machines through electroencephalogram (EEG) which produced by brain activities. It provides a new communication method between human and environment and extents human's ability to control machines. One of the key points of BCI system is how to abstract and distinguish different EEG features. Therefore, EEG signal processing method is the focus...
An embedded and efficient low memory hierarchical image coder is expressed in this passage. The memory occupancy can be reduced through four measures adopted in the arithmetic in the process of coding and coding efficiency can be increasingly improved, respectively. The four measures mentioned above are: (1) adopt a large quantized interval (2) define bit-length and establish block bit-length chart...
Many techniques for recognizing and identifying disturbed signals waveforms are primarily based on visual inspection. This paper proposes a wavelet packet decomposition based technique to perform a feature extraction from the disturbed signals in order to identify the possible causes of the disturbance. On the basis of definition groups of Electromagnetic Interference, the interested information about...
This paper proposes a low-complexity wavelet-based method for progressive lossy-to-lossless compression of four dimensional (4-D) medical images. The subband block hierarchal partitioning (SBHP) algorithm is modified and extended to four dimensions, and applied to every code block independently. The resultant algorithm, 4D-SBHP, efficiently encodes 4D image data by the exploitation of the dependencies...
A low-complexity three-dimensional image compression algorithm based on wavelet transforms and set-partitioning strategy is presented. The subband block hierarchial partitioning (SBHP) algorithm is modified and extended to three dimensions, and applied to every code block independently. The resultant algorithm, 3D-SBHP, efficiently encodes 3D image data by the exploitation of the dependencies in all...
This paper presents a novel approach, adaptive threshold algorithm, for QRS complex detection. It is based on two-to-four scales in COIFLET wavelet transform. Two initial thresholds are defined as up-limited-threshold (ULT) and down-limited-threshold (DLT) at the beginning of the detection. The system then automatically adjusts the values of the threshold to achieve optimal QRS detection. Simulation...
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