New shift-invariant distortion-invariant Synthetic Aperture Radar (SAR) filters for detection are described. They employ new modified Minimum Noise and Correlation Energy (MINACE) filters. Test results are provided fo...
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New shift-invariant distortion-invariant Synthetic Aperture Radar (SAR) filters for detection are described. They employ new modified Minimum Noise and Correlation Energy (MINACE) filters. Test results are provided for real SAR data with 360 degrees aspect views of two different objects and for 100 real SAR clutter chips (natural and man-made) that passed the second stage of the Lincoln laboratory's SAR processor. We obtained high detection rates P-D=100% and few false alarms P-FA less than or equal to 0.82% using only three filters per object class. The shift-invariance of the filters allow their use as adjuncts for all stages (detection, discrimination, classification) of a SAR image processor. Classification results are also briefly reported. Copyright (C) 1996 Pattern Recognition Society.
This work concentrates on comparing the performance of the minimum distance classifier and maximum-likelihood classifier for texture analysis. A tree-structured wavelet transform has been used for extracting the featu...
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This work concentrates on comparing the performance of the minimum distance classifier and maximum-likelihood classifier for texture analysis. A tree-structured wavelet transform has been used for extracting the features and the comparison is based on the correct classification percentage. The results indicate that the maximum-likelihood classifier performs marginally better than the mahalanobis distance for some feature sets. The Euclidean distance did not prove to be powerful in distinguishing the textures. The performance of various orthogonal wavelet transforms have also been compared in order to find out the best wavelet for each of the classifiers considered. (C) 1997 Elsevier Science Ltd.
Echo cancellation has been most widely studied for hands-free telephony and for cancelling line echos in telephone central offices. The problem of echo cancelling in speech dialog systems is similar, however it has so...
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In this paper, we present a new system to segment and label CT/MRI Brain slices using feature extraction and unsupervised clustering. In this technique, each voxel is assigned a feature pattern consisting of a scaled ...
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ISBN:
(纸本)0780341236
In this paper, we present a new system to segment and label CT/MRI Brain slices using feature extraction and unsupervised clustering. In this technique, each voxel is assigned a feature pattern consisting of a scaled family of differential geometrical invariant features. The invariant feature pattern is then assigned to a specific region using a two-stage neural network system. The first stage is a self-organizing principal components analysis (SOPCA) network that is used to project the feature vector onto its leading principal axes found by using principal components analysis. This step provides an effective basis for feature extraction. The second stage consists of a self-organizing feature map (SOFM) which will automatically cluster the input vector into different regions. The optimum number of regions (clusters) is obtained by a model fitting approach. Finally, a 3D connected component labeling algorithm is applied to ensure region connectivity. Implementation and performance of this technique are presented. Compared to other approaches, the new system is more accurate in extracting 3D anatomical structures of the brain, and can be apdated to real-time imaging scenarios.
This paper describes a procedure for stereo video production using model-based processing of both left and right channels of a stereoscopic image sequence. The proposed scheme uses an original video and the first / ba...
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The most important factor in configuring an optimum radial basis function (RBF) network is the appropriate selection of the number of neural units in the hidden layer. This paper proposes a novel algorithm called the ...
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ISBN:
(纸本)0780341236
The most important factor in configuring an optimum radial basis function (RBF) network is the appropriate selection of the number of neural units in the hidden layer. This paper proposes a novel algorithm called the scattering based clustering (SBC) algorithm, in which the FSCL algorithm is first applied to let the neural units converge. Scatter matrices of the clustered data are then used to compute the sphericity for each k, where k is the number of clusters. The optimum number of neural units to be used in the hidden layer is then obtained. A comparative study is done between the SBC algorithm and RPCL algorithm, mid the result shows that the SBC algorithm outperforms other algorithms such as CL, FSCL, and RPCL.
Increasingly, feedback of measured run-time information is being used in the optimization of computation execution. Because of this, the need for a model relating the static view of a computation to its runtime varian...
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An image warping technique based on segmented regions is introduced for the temporal prediction of videophone-type sequences. At the encoder, a set of control points are determined from the previous frame and their co...
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This article presents a technique based on the JBIG algorithm for binary shape coding in both lossless and lossy modes. Because it is applied directly to the bitmap representing the shape information, it bypasses the ...
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This article presents a technique based on the JBIG algorithm for binary shape coding in both lossless and lossy modes. Because it is applied directly to the bitmap representing the shape information, it bypasses the overhead in computation of an intermediate contour representation and its associated conversions. This leads to a simpler algorithm which is more suitable for a larger class of shape data. In addition a mechanism is proposed which allows a rate control for lossy coding mode.
This paper presents a new training approach for improving recognition of speech under emotional and environmental stress. The proposed approach consists of training a speech recognizer with synthetically generated spe...
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