Users of the digital image correlation method are faced with the problem of poor operability,low repeatability,and lack of standardized specifications for spraying *** solve the problem,the research proposed a rock de...
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Users of the digital image correlation method are faced with the problem of poor operability,low repeatability,and lack of standardized specifications for spraying *** solve the problem,the research proposed a rock deformation measurement method that obviates the need to spray speckles.A local binary model was established by using the localbinary pattern(LBP)operator based on deep texture features on rock *** resulting LBP digital speckle pattern can substitute artificial speckle patterns and demonstrates high quality and strong *** on the LBP digital speckle pattern,the target tracking algorithm was employed to achieve non-contact measurement of the dynamic displacements of *** feasibility and effectiveness of the algorithm in practical application were verified by conducting shear tests on granite and *** results show that the deformation characteristics in the displacement nephograms are in line with the measured data pertaining to rock fracturing and conform to the basic characteristics of the shear failure of *** deformation measurement method based on surface texture information can realize non-contact displacement measurement of rocks under conditions without speckles:this obviates the influence of the quality of sprayed speckles on the accuracy of the measurement of deformation.
In order to improve the license plate character recognition rate, a license plate character recognition method based on combination feature and BP neural network is proposed. Firstly, according to the license plate ch...
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ISBN:
(纸本)9781785615030
In order to improve the license plate character recognition rate, a license plate character recognition method based on combination feature and BP neural network is proposed. Firstly, according to the license plate character texture features, the basic LBP operator is improved in our method. Secondly, the improved local binary model and horizontal vertical projection are combined to extract the characteristics of the license plate character image. Then the combined feature is used to train the classifier in BP neural network, and it is applied to identify license plate characters. The experimental results show that the recognition accuracy rate of the license plate reaches 94.55%. The validity and robustness of the method are verified.
In this paper, we simplify the model of local binary model and propose an improved region-based active contour model for medical image segmentation. Our model combines the advantages of the simplification of local bin...
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ISBN:
(纸本)9781424451944
In this paper, we simplify the model of local binary model and propose an improved region-based active contour model for medical image segmentation. Our model combines the advantages of the simplification of localbinary fitting model by taking the local intensity information and the speed function using the minimal variance term, which enable the model to cope with intensity inhomogeneity. We define an energy functional with a local intensity fitting term and the minimal variance term. In the associated curve evolution, the motion of the contour is driven by a local intensity fitting force and the minimal variance force that make the contour evolve to the edge wherever it is. The proposed model has been applied to medical image segmentation with promising results.
In this paper, we simplify the model of local binary model and propose an improved region-based active contour model for medical image segmentation. Our model combines the advantages of the simplification of local bin...
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ISBN:
(纸本)9781424451920;9781424451937
In this paper, we simplify the model of local binary model and propose an improved region-based active contour model for medical image segmentation. Our model combines the advantages of the simplification of localbinary fitting model by taking the local intensity information and the speed function using the minimal variance term, which enable the model to cope with intensity inhomogeneity. We define an energy functional with a local intensity fitting term and the minimal variance term. In the associated curve evolution, the motion of the contour is driven by a local intensity fitting force and the minimal variance force that make the contour evolve to the edge wherever it is. The proposed model has been applied to medical image segmentation with promising results.
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