Based on region-segmentation method and flame image edge detection operator, flame image pre-processing and edge detection can effectively improve flame imageprocessing efficiency. Relatively effective flame image ed...
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ISBN:
(纸本)9780819469502
Based on region-segmentation method and flame image edge detection operator, flame image pre-processing and edge detection can effectively improve flame imageprocessing efficiency. Relatively effective flame image edge detection operator is proposed in this paper. It provides basis for further flame parameters extraction.
Background constructing and updating are the two key problems for the background subtraction method used to the detection of the moving target. In the paper, confident exponent is proposed to construct the original ba...
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ISBN:
(纸本)9780819469502
Background constructing and updating are the two key problems for the background subtraction method used to the detection of the moving target. In the paper, confident exponent is proposed to construct the original background, and an adaptive strategy is applied to update the background in time. this method was applied on tracking the car in the exam of drive's license. the experiments showed that this method was very promising and could overcome the background change and target change.
In this paper, a novel method based on PCA with shape and intensity information is proposed for infrared forward-looking airport recognition. Here, PCA is used to perform feature transformation and airport recognition...
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ISBN:
(纸本)9780819469502
In this paper, a novel method based on PCA with shape and intensity information is proposed for infrared forward-looking airport recognition. Here, PCA is used to perform feature transformation and airport recognition. It maps an input image into a low-dimensional feature space in order to make the mapped features linearly separable. And the input image of conventional method only uses intensity information. the proposed method not only considers the intensity but also adopts shape-mask to emphasize the important object area information. the novel method is evaluated based on the sequence of infrared forward-looking airport images by using different airport recognition methods such as BP networking and SVM. the experiment's results have been compared based on percentage of correct classification, computation complexity and amount of training data, which show that this new method is superior to other recognition approach on computation complexity under almost the same recognition accuracy.
the paper presents a design method for high-speed imageprocessing system based on FPGA+DSP+ASIC structure. According to the feature of the devices, the system reconfigures the data path and distributes the algorithm ...
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ISBN:
(纸本)9780819469502
the paper presents a design method for high-speed imageprocessing system based on FPGA+DSP+ASIC structure. According to the feature of the devices, the system reconfigures the data path and distributes the algorithm flexibly among DSP, FPGA, and the ASIC. Based on the above processing elements, an infrared small target detecting parallel system is constituted, which makes better use of the advantages of DSP, FPGA and ASIC while avoiding their disadvantages. Finally, the prototype test shows good performance and can meet the expected design target related to real-time processing.
Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - the World Cup of Soccer Robots, this paper introduces the ...
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ISBN:
(纸本)9780819469502
Aiming at making up the limitation of catadioptric vision system that lacks of nearby image information, which is used for the middle-size league of RoboCup - the World Cup of Soccer Robots, this paper introduces the monocular front vision process withthe purpose of improving the primary system. the paper puts forward the idea of the monocular front vision process at first, explains the algorithm of every module in detail, and comes up withthe result as well as analyzes it according to the experiment at last.
Automatic recognition based on image fusion techniques are widely used to integrate a lower spatial resolution multispectralimage with a higher spatial resolution panchromatic image. the earthquake events were first ...
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ISBN:
(纸本)9780819469502
Automatic recognition based on image fusion techniques are widely used to integrate a lower spatial resolution multispectralimage with a higher spatial resolution panchromatic image. the earthquake events were first researched after the Kocaeli Earthquake of 1999 show that the spatial images from various satellites could be exploited. the remote sensing which in terms of spatial resolution and data processing open new possibilities concerning the natural hazard assessment. However, the existing techniques either cannot avoid distorting the image spectral properties or involve complicated and time-consuming frequency decomposition and re-construction processing. To address these problems, we present our study on a HIS transform and intensity modulation algorithm. the algorithm is further optimized a proposed objective of minimizing error rate. Experiments in recognition of building damage due to earthquakes applications show that the algorithm provides better recognition accuracy than others. Although some environment problems, such as the influence of sunshine need further research, the proposed method can benefit further study of the application.
In this paper, a self-adaptive evolutionary clustering algorithm is presented. this algorithm uses the evolutionary programming (EP) to search the optimal clustering and bases on the principles of the K-means algorith...
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ISBN:
(纸本)9780819469519
In this paper, a self-adaptive evolutionary clustering algorithm is presented. this algorithm uses the evolutionary programming (EP) to search the optimal clustering and bases on the principles of the K-means algorithm. the proposed self-adaptive evolutionary (SAEP) clustering algorithm self-adapts the vector of the step size appropriate for each parent. this is different from other genetic-based algorithms. the algorithm can minimize the degeneracy in the evolutionary process. the experimental results show that the KSAE clustering algorithm is efficient in the unsupervised classification of the multispectral remote sensing image.
In this paper. we propose a new de-noising method by wavelet transform based on lifting scheme for the reducing of the multiplicative speckles in synthetic aperture radar (SAR) images. An ERS-2 SAR image of Hangzhou w...
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ISBN:
(纸本)9780819469519
In this paper. we propose a new de-noising method by wavelet transform based on lifting scheme for the reducing of the multiplicative speckles in synthetic aperture radar (SAR) images. An ERS-2 SAR image of Hangzhou was used as a test image to compare the performance of the method withthat of conventional methods. the results show that the proposed method has advantages in radiation characteristics and textual details of the image over the conventional methods.
In this paper, we present a new iterative blind multispectralimage restoration algorithm based on double regularization (DR). the motivation for DR when applied to multispectral restoration lies in its effectiveness ...
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ISBN:
(纸本)9780819469519
In this paper, we present a new iterative blind multispectralimage restoration algorithm based on double regularization (DR). the motivation for DR when applied to multispectral restoration lies in its effectiveness towards edge preservation in joint blur identification and image restoration. With consideration for boththe intra- and inter-channel blurring function in the multiple-input multiple-output (MIMO) systems, an alternating minimization (AM) procedure with conjugate gradient optimization (CGO) scheme is formulated to implement restoration iteratively. the derivation of DR optimization shows that optimal restoration result can be achieved even when the MIMO systems suffer from interchannel interference. Experimental results show that it is effective in performing blind mutichannel restoration when applied to color images.
A target description model based on hierarchical saliency feature and target detection based on the model are proposed, which integrates bottom-up and top-down vision attention mechanisms together. Some saliency featu...
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ISBN:
(纸本)9780819469502
A target description model based on hierarchical saliency feature and target detection based on the model are proposed, which integrates bottom-up and top-down vision attention mechanisms together. Some saliency features of target are extracted on multi-scale, such as local symmetry, corner and so on, which are then processed hierarchically. this makes detection process much simpler and robust. Experiments demonstrate that the approach proposed is effective.
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