Visual examination of chromosome banding patterns is an important means of chromosome analysis. Cytogeneticists compare their patient's chromosome image against the prototype normal/abnormal human chromosome bandi...
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ISBN:
(纸本)0819422134
Visual examination of chromosome banding patterns is an important means of chromosome analysis. Cytogeneticists compare their patient's chromosome image against the prototype normal/abnormal human chromosome banding patterns. Automated chromosome analysis instruments facilitate this by digitally enhancing the chromosome images. Currently available systems employing traditional highpass/bandpass filtering and/or histogram equalization are approximately equivalent to photomicroscopy in their ability to support the detection of band pattern alterations. Improvements in chromosome image display quality, particularly in the detail of the banding pattern, would significantly increase the cost-effectiveness of these systems. In this paper we present our work on the use of multiscale transform and derivative filtering for image enhancement of chromosome banding patterns. A steerable pyramid representation of the chromosome image is generated by a multiscale transform. the derivative filters are designed to detect the bands of a chromosome, and the steerable pyramid transform is chosen based on its desirable properties of shift and rotation invariance. By processingthe transform coefficients that correspond to the bands of the chromosome in the pyramid representation, contrast enhancement of the chromosome bands can be achieved with designed flexibility in scale, orientation and location. Compared with existing chromosome image enhancement techniques, this new approach offers the advantage of selective chromosome banding pattern enhancement that allows designated detail analysis. Experimental results indicate improved enhancement capabilities and promise more effective visual aid to comparison of chromosomes to the prototypes and to each other. this will increase the ability of automated chromosome analysis instruments to assist the evaluation of chromosome abnormalities in clinical samples.
In the present paper, we introduce a new nonlinear operator well adapted to various processing and analysis on any nonuniformly sampled signals. this operator is based on the Hausdorff metric, which is very convenient...
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In the present paper, we introduce a new nonlinear operator well adapted to various processing and analysis on any nonuniformly sampled signals. this operator is based on the Hausdorff metric, which is very convenient for point sets comparison. We expose the properties of this nonlinear operator, especially for various transformations of the signal, like translation and scaling. We give some examples of applications using this operator and discuss their similarity with correlation and wavelet transforms. then we extend the description of its behavior to affine transforms, with an application to shape matching and object recognition.
this paper presents a new method for obtaining high-resolution edges of a natural image. the algorithm is based on the estimation of the local fractal dimension (FD) of the image using its local spectral density compu...
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this paper presents a new method for obtaining high-resolution edges of a natural image. the algorithm is based on the estimation of the local fractal dimension (FD) of the image using its local spectral density computed from the Fourier-wavelet transform. Using our high-resolution FD map, the FD and edge information is integrated into a region growing algorithm for segmentation of natural and real images. the efficiency of the method is illustrated on five real images.
In an effort to provide a more efficient representation of the acoustical speech signal in the pre-classification stage of a speech recognition system, we consider the application of the Best-Basis Algorithm of Coifma...
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ISBN:
(纸本)0780335554
In an effort to provide a more efficient representation of the acoustical speech signal in the pre-classification stage of a speech recognition system, we consider the application of the Best-Basis Algorithm of Coifman and Wickerhauser. this combines the advantages of using a smooth, compactly-supported wavelet basis with an adaptive time-scale analysis dependent on the problem at hand. We start by briefly reviewing areas within speech recognition where the wavelet Transform has been applied with some success. Examples include pitch detection, formant tracking, phoneme classification. Finally, our wavelet based feature extraction system is described and its performance on a simple phonetic classification problem given.
Actual research in Automatic Incident Detection (AID) on motorways concerns both technological and algorithmic aspects. A new approach is considered here, based on the application of a modern technique - wavelets - de...
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Actual research in Automatic Incident Detection (AID) on motorways concerns both technological and algorithmic aspects. A new approach is considered here, based on the application of a modern technique - wavelets - derived from signalprocessing analysis. A particular set of wavelet filters is then considered for incident detection. the performances of this approach are assessed on the basis of real data collected on the internal part of the Paris ringway. the rates of detection and false alarms obtained reveal the potential ability of wavelets to discriminate incidents and non incidents traffic patterns.
the wavelet transform (WT) is an efficient time-frequency signalprocessing tool. Recently, WT was considered for numerous applications in signalprocessing and communication system such as digital filters, multiresol...
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the wavelet transform (WT) is an efficient time-frequency signalprocessing tool. Recently, WT was considered for numerous applications in signalprocessing and communication system such as digital filters, multiresolution analysis and speech and imageprocessing. It is shown that WT overcomes the main drawback of the short-time Fourier transform and the Wigner distribution w.r.t. simultaneous time and frequency resolution.
Spectral reconstruction from color scanning signals is discussed based on inverse projection from color signal subspace. A fundamental spectrum without metameric black carries the tristimulus value essential to human ...
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ISBN:
(纸本)0892081961
Spectral reconstruction from color scanning signals is discussed based on inverse projection from color signal subspace. A fundamental spectrum without metameric black carries the tristimulus value essential to human vision. Here, we present a method to extract the fundamental spectra from XYZ or RGB color scanning signals using pseudo-inverse projection and estimate the skin color reproducibility.
this paper presents a wavelet transformation (WT) based technique for reducing the size of Cellular Neural Network (CNN) [1] used for the acoustic alarm signals classification system proposed by Osuna ***. [2]. the sy...
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this paper presents a wavelet transformation (WT) based technique for reducing the size of Cellular Neural Network (CNN) [1] used for the acoustic alarm signals classification system proposed by Osuna ***. [2]. the system of [2] consists of three processing units: i) Transformation of a 1-dimensional (1-D) signal into a sequence of 2-dimensional (2-D) signals, so called images obtained by a low pass filter cascade incorporating with a grid like correlation process, ii) Concentrating an image sequence into a single image by linear threshold template CNN, iii) Classification of the resulting image by discrete-valued perceptrons. In this paper, discrete WT (DWT) incorporating with grid like correlation process has been used for transforming 1-D acoustic signal into an image sequence. All other operations needed for the classification has been performed as done in [2] for the sake of comparison. the WT based technique proposed in this paper gives the possibility of acoustic alarm signal classification by using CNNs of small size, e.g., 13×13. By using WT based technique, CNN of size 13×13 becomes sufficient.
A fully compatible and scalable coding scheme for super high definition video has been developed. wavelet decomposition is performed such that the low frequency band is of CIF order, which forms a low-resolution core ...
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ISBN:
(纸本)0780332598
A fully compatible and scalable coding scheme for super high definition video has been developed. wavelet decomposition is performed such that the low frequency band is of CIF order, which forms a low-resolution core of the full sized video, and is coded by MPEG. the high frequency wavelet coefficients are coded by the proposed virtual zerotree which encodes the wavelets more efficiently than the simple zerotree. Embedded in the scheme is also the hierarchical motion compensation that gives high performance with a large capable compensation range, requires minimum computation, and reduces overhead motion information. With its scalability, data prioritization and precise bit-rate control, the scheme is suitable to code SHD video in multimedia applications.
Teodosio and Bender described a class of images called salient stills: Multiple frames of an image sequence that may include variations in focal-length or field-of-view are combined to create a single still image. Sal...
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Teodosio and Bender described a class of images called salient stills: Multiple frames of an image sequence that may include variations in focal-length or field-of-view are combined to create a single still image. Salient stills can have various aesthetic looks depending on the particular video sequence from which they are derived, or from user specified estimation or rendering controls.
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