This paper describes the discussion and experiments on the hierarchical block matching algorithm(HBMA) which can be used in motion compensating interframe predictive coding for the HDTV *** improvements for the HBMA a...
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This paper describes the discussion and experiments on the hierarchical block matching algorithm(HBMA) which can be used in motion compensating interframe predictive coding for the HDTV *** improvements for the HBMA are proposed which yield more reliable and homogeneous displacement vector *** to the sophisticated full search block matching technique,the video compression efficiency is *** results of simulating experiment show the potential capability of applying this algorithm to the HDTV systems.
The paper presents a new theory and method that combines topology and digital imageprocessing. It is hopeful for many difficult segmentation problems. Its application for color recognition of geographic maps is also ...
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ISBN:
(纸本)078031865X
The paper presents a new theory and method that combines topology and digital imageprocessing. It is hopeful for many difficult segmentation problems. Its application for color recognition of geographic maps is also presented.< >
A group at SJTU has been concerned with the problems of transmittinig video information over wide area networks particulary for point-to-point and multi-point video *** some work has been carried out in the group on t...
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A group at SJTU has been concerned with the problems of transmittinig video information over wide area networks particulary for point-to-point and multi-point video *** some work has been carried out in the group on the application of M-JPEG over a wide bandwidth network of digital microwave channel and the treatment of bit *** M-JPEG videoconferencing system has been realized. This paper describes the completed system structure and gives some experiment results.
A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of w...
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ISBN:
(纸本)078031865X
A new idea of fingerprint preclassification named the key-point recognition method (KMF) is proposed which only pays attention to whether there is a general feature key-point in a certain area and takes no notice of what the feature is. Using this method, an automatic fingerprint recognition system has been developed, which is characterized by fewer requirements imposed on the preprocessing, lower sensitivity to the noise, higher capacity and parallelism being compared with other traditional ones. The system can list out the most promising fingerprints as a preclassifier.< >
A general design strategy based on experiences of a successful application project concerning the reading of analog devices in order to automate the reading process is presented. The problem space is defined and a des...
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A general design strategy based on experiences of a successful application project concerning the reading of analog devices in order to automate the reading process is presented. The problem space is defined and a description language is introduced which controls the interpretation of specific types of instruments and decouples recognition of primitiva and formation of an aspired result. Furthermore, the interaction between Hough transform or line detection, the user-controlled computation of the measurement and the extension to other measuring instruments is described.
An analysis system design based on experience with a successful application in the field of inspection and calibration of an analog display measuring instrument is presented in this paper. First the measuring instrume...
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An analysis system design based on experience with a successful application in the field of inspection and calibration of an analog display measuring instrument is presented in this paper. First the measuring instrument is divided into its primitiva, defining the a priori known parameter of the primitiva: shape, relative position and size. According to the shape of the primitiva patternrecognition algorithms are used to detect the primitiva in intensity images. These independent detection algorithms are then grouped into a detecting order with respect to efficiency. Following a discussion of the general design of the detecting algorithm, specific constraints of the application and the industrial environment are considered in order to refine the general design to an applicable and efficient device by modifying both hardware and software configuration depending on the given constraints. Finally, results of the implementation of the algorithm and the constructed image acquisition device are discussed.< >
＜正＞Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually tre...
＜正＞Feature extraction is very important for the classifier design and the overall performance of *** recognition ***,due to the lack of theoretical guidances,feature extraction and classifier design are usually treated separately in current speech recognition *** *** proposes an approach to combine linear feature extraction with continuous density hidden Markov modeling（HMM） which is currently the most successful speech pattern classifier.A maximumlikelihood based algorithm is derived to iteratively train HMM parameters as well as the parameters of the feature *** algorithm is an exteusion of the Baum-Welcli parameter re-estimation algorithm for conventional HMMs and thus has a nice property of guara, nteed convergence.
In this paper we present a new shape normalization method that is invariant to shape translation, rotation and scaling. We define a visible area density function and an unvisible area density function for a planar sha...
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In this paper we present a new shape normalization method that is invariant to shape translation, rotation and scaling. We define a visible area density function and an unvisible area density function for a planar shape. Using these two functions we define a visible region center and an unvisible region center of the shape, respectively. When the visible and unvisible region centers of a shape locate at different positions they can be utilized as characteristic points to normalize the shape to a standard form. The normalizing process by use of the centers is presented. Experiments are executed on five groups of shapes with distortion of translation, rotation and scaling adding quantilization noise. The results show that the method is reasonable and available.
A neural network appraoch for classification using features extracted by a mapping is presented. When the number of sample dimensions is much larger than the number of classes and no deviations are given but the means...
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A neural network appraoch for classification using features extracted by a mapping is presented. When the number of sample dimensions is much larger than the number of classes and no deviations are given but the means of classes, a mapping from class space to a new one whose dimensions is exactly equal to the number of classes is proposed. The vectors in the new space are considered as the feature vectors to be inputted to a neural network for classification. The property that the mapping does not change the separability of the original classification problem is given. Simulation results for object recognition are presented.
A new update criterion, which is called eliminating highest error (EHE) criterion, is presented in the paper. The Hopfield neural network taking the threshold function as the neuron's output function is essentiall...
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A new update criterion, which is called eliminating highest error (EHE) criterion, is presented in the paper. The Hopfield neural network taking the threshold function as the neuron's output function is essentially unstable when it is working for a least squares (LS) solution in bilevel image restoration. Under the EHE criterion the network can overcome the instability and converge to a solution extremely close to the LS one. Simulation results compared with those of the ordinary Hopfield network and the simulated annealing method are presented.
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