Based on Immune Genetic Algorithm (IGA), a novel algorithm for image segmentation is presented in this paper. Utilizing functions of self-adaptive, antigen recognition and memory of immune mechanism, this algorithm co...
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ISBN:
(纸本)0819451819
Based on Immune Genetic Algorithm (IGA), a novel algorithm for image segmentation is presented in this paper. Utilizing functions of self-adaptive, antigen recognition and memory of immune mechanism, this algorithm combines genetic operator to segment image. The results of experiments indicate that it is an effective new method for image segmentation.
Nowadays in intelligent transportation systems (ITS), information gathering depends heavily on visual information. imageprocessing technologies (IPT) play a key role. After a brief introduction of ITS, IPT is illustr...
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ISBN:
(纸本)0819451819
Nowadays in intelligent transportation systems (ITS), information gathering depends heavily on visual information. imageprocessing technologies (IPT) play a key role. After a brief introduction of ITS, IPT is illustrated from three aspects: image sensor, imageprocessing methods and imageprocessing system. Among many applications for imageprocessing in ITS, the paper presents a roadside example, license plate recognition (LPR). Attention is centered around two aspects of LPR: plate character isolation and plate character recognition. Lastly, the paper indicates the trends of image-processing technologies in ITS.
Load-stepped method is a new full field automatic photoelasticity imageprocessing method which can obtain the phase value directly. The principle of the load-stepped photoelasticity technique is introduced. The compu...
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ISBN:
(纸本)0819451819
Load-stepped method is a new full field automatic photoelasticity imageprocessing method which can obtain the phase value directly. The principle of the load-stepped photoelasticity technique is introduced. The computer simulated photoelascity images are used to describe the method and the results are satisfied. The authors expect the method will play an important role in dynamic photoelasticity imageprocessing.
Given essential matrix, an analytical solution of the camera's motion parameters is provided in this short note. To our knowledge, there has been no similar report in the literature up to now.
ISBN:
(纸本)0819451819
Given essential matrix, an analytical solution of the camera's motion parameters is provided in this short note. To our knowledge, there has been no similar report in the literature up to now.
We construct kernel uncorrelated optimal discriminant vectors(KUODV) for non-linear feature extraction and discrimination. Employing the uncorrelated optimal discriminant vectors(UODV) and kernel method, we propose no...
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ISBN:
(纸本)0819451819
We construct kernel uncorrelated optimal discriminant vectors(KUODV) for non-linear feature extraction and discrimination. Employing the uncorrelated optimal discriminant vectors(UODV) and kernel method, we propose nonlinear generalization of uncorrelated optimal discriminant vectors and then enhance the performance of original UODV. Human face recognition experiments show the utility of our new method.
According to the definition of curvelet, it is more suitable for imageprocessing than the wavelet and able to represent both smooth and edge parts of image with sparsity. In addition, the representation contains more...
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ISBN:
(纸本)0819451819
According to the definition of curvelet, it is more suitable for imageprocessing than the wavelet and able to represent both smooth and edge parts of image with sparsity. In addition, the representation contains more directional information. The primary experimental results available at present show its potential in imageprocessing. In this paper, we first introduce the concept of curvelet transform. Then, we propose an image retrieval scheme based on curvelet transform. The experimental results and relevant conclusion are given finally.
In the target recognition system using Joint Transform Correlator (JTC), real-time displaying spectral images in electric addressed Liquid Crystal Display (EALCD) is required, under the work condition of non-affecting...
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ISBN:
(纸本)0819451819
In the target recognition system using Joint Transform Correlator (JTC), real-time displaying spectral images in electric addressed Liquid Crystal Display (EALCD) is required, under the work condition of non-affecting image capturing and processing, the above requirement can not be satisfied by the graphic device interface. With the aid of DirectDraw, image data can be captured, transmitted and converted. When the spectral images are displayed at a high speed, the high quality of image can still be produced.
This paper mainly investigates the feasibility on the application of high-resolution AIRSAR in the topography of Surveying and Mapping, presenting the key procedures of data processing, extracting the basic mapping el...
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ISBN:
(纸本)0819451819
This paper mainly investigates the feasibility on the application of high-resolution AIRSAR in the topography of Surveying and Mapping, presenting the key procedures of data processing, extracting the basic mapping elements and evaluating the precision. Experiment results show that high-resolution and high quality AIRSAR image data could make its application extensive in the field of Surveying and Mapping.
A new method for designing Gabor filter banks with various frequencies and orientations is proposed to perform feature extraction. A feature decomposition modular neural network classifier based on the feature extract...
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ISBN:
(纸本)0819451819
A new method for designing Gabor filter banks with various frequencies and orientations is proposed to perform feature extraction. A feature decomposition modular neural network classifier based on the feature extracted by the Gabor filter banks is presented for object recognition. This classifier has the advantages of reducing the complexity of the object recognition problems and the influence of band limited noise.
image segmentation is one of the most challenging problems in imageprocessing. While significant progress has been made in gray-scale texture segmentation and color segmentation problem separately. the combined color...
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ISBN:
(纸本)0819451819
image segmentation is one of the most challenging problems in imageprocessing. While significant progress has been made in gray-scale texture segmentation and color segmentation problem separately. the combined color and texture segmentation problem is less considered. In this paper, we use independent component analysis to extract local color and texture features for segmentation. Experiments compared with gray-scale texture analysis method show that the proposed method is more effective in segmenting complex color and texture images.
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