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A New Recognition Method for Billet Number Recognition System

A New Recognition Method for Billet Number Recognition Syste...

引用

第三届数字制造与自动化国际会议

作者： Hao Zhu Yiwen Wang Hanyu Hong Xiuhua Zhang Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology School of mathematics and physics University of Science Technology Beijing

This paper presents a method for extracting and recognizing the billet numbers according to the feature of each number. Its advantages lie in that no template image is required, the requirement to the number in the image is low, and the anti-interference performance is strong. This method is able to recognize the numbers on the billet with a high efficiency

关键词： billet number feature extraction numeral recognition

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Self-Adaptability Research of Billet Character Segmentation in the Complex Scene

Self-Adaptability Research of Billet Character Segmentation ...

引用

第三届数字制造与自动化国际会议

作者： Yang Yijun Hong Hanyu Wang Yiwen Zhang Xiuhua Laboratory of Image Processing and Intelligent Control Wuhan Institute of Technology School of Mathematics and Physics University of Science and Technology Beijing

In the process of billet detection and recognition, the self-adaptability research of billet character segmentation in the complex scene is a highly complicated intelligence problem. On account of a good many of factors, such as the uneven ends of billet, the rusty billets, the non-standard printed characters and so on, the irregular characters at ends of steel billet may be connected and broken. Improper segmentation of connected and broken characters will lead the characters distorted directly and then impact on the recognition results. In view of these complex factors, a segmentation algorithm based on self- adaptability decision is proposed to improve the segmentation self-adaptability in this paper. The segmentation experimental results show that the proposed algorithm divides the billet characters in the complex scene accurately and improves the self-adaptability of character segmentation.

关键词： billet character segmentation self-adaptability decision connected character broken character

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Integrating Segmentation and Classification Accuracy for Accuracy Assessment in Object-based image Analysis

Integrating Segmentation and Classification Accuracy for Acc...

引用

International Conference on Audio, Language and image processing

作者： Nan Li Hong Huo Tao Fang Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education Institute of Image Processing and PatternRecognition Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467301732

An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relationship between pixels and their corresponding segments according to the overlaps of segments and reference polygons. Then, two improved confusion matrices that take the segmentation errors into consideration are used: one for pixel-level classification results, and the other for object-level classification results. A final accuracy assessment combines the statistics of these two confusion matrices. The proposed method can be applied to segmentation scale selection in the hierarchical interpretation system. An experiment on a SPOT5 image demonstrates the effectiveness of this method for segmentation scale selection, which can guide the fusion of objects of different scales to obtain a higher accuracy.

关键词： segmentation image analysis Segmentation object orientation confusion matrix pixel

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A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance 12

A novel segmentation method for convex lesions based on dyna...

引用

27th Annual ACM Symposium on Applied Computing, SAC 2012

作者： Yu, Mali Huang, Qiliang Jin, Renchao Song, Enmin Liu, Hong Hung, Chih-Cheng School of Computer Science Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan Hubei China Radiology Department Second People's Hospital of Nanning Nanning China School of Computing and Software Engineering Southern Polytechnic State University GA United States

ISBN: (纸本)9781450308571

Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradient is used as an important factor in the cost function to attract the contours to the boundaries. Since medical images have their characteristics such as low contrast, blurred edges and high noises, the gradient operator cannot work well enough to achieve a satisfactory performance for boundary detection. We define the local intra-class variance and combine it with the dynamic programming method to replace the traditional gradient operation. Experiments on synthetic and X-ray images are carried out and the results are compared with Canny and fast multilevel fuzzy edge detection (FMFED) algorithms. It is demonstrated that the proposed method performs better on medical images with low contrast, blurred edges and high noises. In addition, 483 regions of interest of mammograms randomly extracted from DDSM of the University of South Florida are used to compare our proposed method with the plane-fitting and dynamic programming method (PFDP), and the normalized cut segmentation method (Ncut). The results demonstrate that our method is more accurate and robust than PFDP and Ncut. © 2012 ACM.

关键词： Dynamic programming

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AC magnetization measurement employing a pair of differentiating coils for magnetic nanoparticle noninvasive and remote temperature estimation

AC magnetization measurement employing a pair of differentia...

引用

IEEE Instrumentation and Measurement Technology Conference

作者： Jing Zhong Wenzhong Liu Ming Zhou Le He Department of Control Science and Engineering Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China

This paper aims to design a system that can measure AC sample magnetization employing a pair of differentiating detection coils. A pair of Helmholtz coils generated the applied magnetic field. A new model and a pair of differentiating coils were used to reject the intrinsic residual of the applied magnetic field, which was caused by the mechanical positioning error of detection coils. The system design is very simple, low-cost, and easy to implement with only two parts: hardware and software. The experimental results indicated that the rejection of the applied magnetic field with a residual is about 0.05%, relative to the sample magnetization.

关键词： Coils Magnetization Magnetic field measurement Magnetic fields Temperature measurement Estimation Biomedical measurements

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Clearance of flight control law based on H-infinity theory

Clearance of flight control law based on H-infinity theory

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International Conference on Modelling, Identification and control (ICMIC)

作者： Shuai Dong Zhishen Wang Lei Liu Liuli Ou Yongji Wang Key Lab for Image Processing & Intelligent Control Department of Control Science and Engineering Huazhong University of Science and Technology 1037 Luoyu Road Wuhan China

The H∞ approach is used for the clearance of flight control laws when some parameters in the flight control system vary in a certain range. The proposed H∞ approach is developed from general H∞ theory and is applied to the clearance of a flight control law for a missile. Based on bounded real lemma, two theorems about clearance are deduced, and the clearance problem is transformed to a general linear matrix inequality problem. A BTT missile is chosen as an example to test the proposed method. The simulation result shows that the proposed method is convenient and efficient.

关键词： Aerospace control Uncertainty Mathematical model Uncertain systems Aerodynamics Missiles control systems

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Detection of Billet Character in Complex Production Line Scene

Detection of Billet Character in Complex Production Line Sce...

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第三届数字制造与自动化国际会议

作者： Hong Hanyu Yu Zhejun Zhang Xiuhua Laboratory for Image Processing and Intelligent Control Wuhan Institute of Technology Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology

Character information is hard to detect in billet scene images by CCD camera. In this paper, we present a method for detection of billet characters from measurements of recursive segmented image. This recursive segmented method can be used in a wide variety of billet scenes. According to high temperature and complex scene in the rolling line, we use an effective clustering and projection characteristics to determine the terminal condition of recursive segmentation. Then we can label character candidate regions in turn by this effective characteristics, and select the regions we want to achieve. The experiments show that this method makes full use of the characteristics of region and clustering. It can improve the quality of detection, and the detection result meets the need of practical application.

关键词： image processing production line billet character

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Cross-view object classification in traffic scene surveillance based on transductive transfer learning

Cross-view object classification in traffic scene surveillan...

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IEEE International Conference on image processing

作者： Yi Mo Zhaoxiang Zhang Yunhong Wang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

Object classification in traffic scene surveillance has been a hot topic in image processing field. A big challenge is that shooting view changes in different scenes, which leads to sharp accuracy decrease since training and test samples do not share the same distribution. Inductive transfer learning methods try to bridge this gap by making use of manually labeled target samples. However, it is in line with reality to conduct unsupervised transfer without manually labeling. In this paper, we propose an intuitive transductive transfer method by transferring instances across view. Experimental results indicate that our method outperforms traditional approaches such as inductive SVM and cluster method, and could even achieve a comparable performance compared with manually labeling approach.

关键词： Support vector machines Surveillance Training Accuracy Labeling image edge detection Feature extraction

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A hierarchical framework for image-based human age estimation by weighted and OHRanked Sparse Representation-based classification

A hierarchical framework for image-based human age estimatio...

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IAPR International Conference on Biometrics (ICB)

作者： Weixin Li Yunhong Wang Zhaoxiang Zhang Laboratory of Intelligent Recognition and Image Processing Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China

Human age estimation based on face images can figure in a wide variety of real-world applications. In this paper, we propose a novel and efficient facial age estimation algorithm which decides human age in a hierarchical framework. Biologically, human lives can be roughly divided into two stages, the period from birth to adulthood and the period from adulthood to old age, which are quite different from each other in face growth and aging forms. Considering that craniofacial growth occurs mainly in the first stage while keeps basically stable in the second, based on the shape features, the coarse step of the framework determines which age stage the test sample belongs to using a quadratic function. On the other hand, since the face appearance of individuals in the same age group or even of the same age does have some similarities in common, accurate age estimation within the age stage is solved by Sparse Representation-based classification (SRC) in the fine step. However, SRC requires sufficient training samples in each class and in practice this assumption often does not hold, making the performance of age estimation limited. Accordingly, we take use of the idea of Ordinal Hyperplanes Ranker (OHRank) and weights of samples' numbers in each class to solve the aforementioned problem, improving the age estimation results. Results of experiments conducted on the FG-NET Database demonstrate the effectiveness of our method.

关键词： Face Estimation Training Shape Aging Feature extraction Humans

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Robust Mobile Spamming Detection via Graph Patterns

Robust Mobile Spamming Detection via Graph Patterns

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International Conference on Pattern Recognition

作者： Yuhang Zhao Zhaoxiang Zhang Yunhong Wang Jianyun Liu Intelligent Recognition and Image Processing Lab Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University

ISBN: (纸本)9781467322164

Short message service (SMS) is now an indispensable way of social communication. However the mobile spam is getting increasingly serious, troubling users' daily life and ruining the service quality. We propose a novel approach for spam message detection based on mining the underlying social network of SMS activities. Comparing with strategies on keywords or flow detection, our network-based approach is more robust and difficult to defeat by human spammers. Various levels of features are employed to describe multiple aspects of the network, such as static structures, node activities and evolving situations. Experimental results on real dataset illustrate effectiveness of various features, showing our promising results.

关键词： data mining electronic messaging feature extraction mobile computing network theory (graphs) social networking (online) unsolicited e-mail

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