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MIPPR 2005: image Analysis Techniques

作者： Sang, Nong Li, Heng Peng, Weixue Zhang, Tianxu Institute for Pattern Recognition and Artificial Intelligence Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

In clinical practice, digital subtraction angiography (DSA) is a powerful technique for the visualization of blood vessels in the human body. Blood vessel segmentation is a main problem for 3D vascular reconstruction. In this paper, we propose a new adaptive thresholding method for the segmentation of DSA images. Each pixel of the DSA images is declared to be a vessel/background point with regard to a threshold and a few local characteristic limits depending on some information contained in the pixel neighborhood window. The size of the neighborhood window is set according to a priori knowledge of the diameter of vessels to make sure that each window contains the background definitely. Some experiments on cerebral DSA images are given, which show that our proposed method yields better results than global thresholding methods and some other local thresholding methods do.

关键词： image analysis

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Plane embedding of dually contracted graphs

Plane embedding of dually contracted graphs

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9th International Conference on Discrete Geometry for Computer imagery, DGCI 2000

作者： Glantz, Roland Kropatsch, Walter G. Pattern Recognition and Image Processing Group 183/2 Institute for Computer Aided Automation Vienna University of Technology Favoritenstr. 9 A-1040 Vienna Austria

ISBN: (纸本)3540413960

The use of plane graphs for the description of image structure and shape representation poses two problems : (1) how to obtain the set of vertices, the set of edges and the incidence relation of the graph, and (2) how to embed the graph into the plane image. Initially, the image is represented by an embedded graph G in a straight forward manner, i.e. the edges of G represent the 4-connectivity of the pixels. Let G¯ denote a (planar) abstract dual of G. Dual graph contraction is used to reduce the pair (G¯,G) to a pair (H¯,H) of planar abstract duals. Dual graph contraction is unsymmetric due to an extra condition on the choice of the contraction kernels in G. This condition is shown to be necessary and sufficient for H to be embedded onto G. The embedding is applied to the description of image structure and to shape representation. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Graph theory

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Template Guided Live Wire and Its Application on Automatic Extraction of Tongue in Digital image

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Chinese Journal of Biomedical Engineering(English Edition) 2005年第3期14卷 104-113页

作者： ZHENG Yuan-jie YANG Jie ZHOU Yue Institute of Image Processing ＆ Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China

In this paper, we propose a novel automatic object extraction algorithm, named the Template Guided Live Wire, based on the popularly used live-wire techniques. We discuss in details the novel method’s applications on tongue extraction in digital images. With the guides of a given template curve which approximates the tongue’s shape, our method can finish the extraction of tongue without any human intervention. In the paper, we also discussed in details how the template guides the live wire, and why our method functions more effectively than other boundary based segmentation methods especially the snake algorithm. Experimental results on some tongue images are as well provided to show our method’s better accuracy and robustness than the snake algorithm.

关键词： Automatic image segmentation Tongue segmentation Computerized tongue diagnosis Object extraction

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Numerical simulation on magnetic flux leakage testing of the steel cable at different speed title

Numerical simulation on magnetic flux leakage testing of the...

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International Conference on Electronics and Optoelectronics

作者： Gan, Zhihua Chai, Xiuli Computer Center Henan Universitye Kaifeng 475001 China Institute of Image Processing and Pattern Recognition College of Computer and Information Engineering Henan University Kaifeng 475001 China

ISBN: (纸本)9781612842738

The safety operation of steel cable is vital and the cable should be maintained through regular inspection. Magnetic flux leakage (MFL) method is a popular inspection technique. For the online nondestructive testing (NDT), the eddy current arises in the steel cable due to the relative movement of the cable and the MFL system, which affects the defect field and causes the difficulty in the defect inspection. In this paper, for axial MFL system with permanent magnet excitation at different speeds, the distribution of eddy currents, magnetic flux lines and magnetic leakage field are investigated by numerical simulation. The results provide a deep insight into the design of the MFL system. © 2011 IEEE.

关键词： Cables

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On the detection of individuals and vehicles on an airport's apron

On the detection of individuals and vehicles on an airport's...

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IEE International Conference on Visual Information Engineering, VIE 2005

作者： Antequera, Josep Aguilera Kampel, Martin Vienna University of Technology Institute of Computer Aided Automation Pattern Recognition and Image Processing Group Favoritenstr.9 183-2 A-1040 Vienna Austria

This paper gives a robust motion detection and tracking solution for a video surveillance application on an airport's apron. As an outdoor application, the system must be capable of adapting to a wide range of weather conditions and illumination changes. Furthermore, the achromaticity of the scene and the presence of occlusions in the tracking process are issues considered in the selection of the motion detector and tracking system respectively. We propose an adapted mixture of Gaussians model with RGB colour normalisation to detect mobile objects in the scene and a region tracking method based on significant mobile object features to track individuals and vehicles on the selected airport's apron. The performance of the proposed motion detector is evaluated using pixel-based performance metrics and compared with other existing methods. The capability of the application to handle partial occlusions is tested on the region tracker.

关键词： Motion estimation

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Analysis of Distracted Driving Detection Based on Deep Learning Human Posture 23

Analysis of Distracted Driving Detection Based on Deep Learn...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Li, Yanjun Ling, Xufeng Yang, Jie Shanghai Normal University Tianhua College AI School No. 1661 North Sheng Xin Road China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University 800 Dongchuan Road 200240 China

ISBN: (纸本)9781450399029

Distracted driving is a phenomenon that drivers’ attention points to activities unrelated to normal driving, which leads to the decline of driving operation ability. With the popularity of smart phones, traffic accidents caused by distracted driving are on the rise. Traffic accidents caused by driver’s inattention due to vision deviation or distraction are particularly obvious in rear end collisions. The results of the distracted driving questionnaire show that almost all drivers have experienced distracted driving. In order to detect whether drivers are distracted when driving, this paper proposes a distracted driving analysis based on deep learning of human posture. This method uses the MMDetection framework in depth learning to build a target detection network to achieve target detection, then uses the depth neural network to estimate the geometric transformation features, and uses the stacked hourglass network to accurately predict the state features of drivers in the graph. The experimental results show that the measurement method has good accuracy, fast speed, good robustness and consistency, more accurate extraction of human posture related features, strong generalization ability and certain practical value. © 2023 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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Microarray camera image segmentation with Faster-RCNN

Microarray camera image segmentation with Faster-RCNN

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International Conference on Applied System Innovation (ICASI)

作者： Jiancheng Zou Rui Song Institute of Image Processing and Pattern Recognition North China University of Technology Shijingshan District Beijing China

A novel method of image segmentation based on Faster-RCNN and microarray camera (3 × 3) is proposed in this paper, we use the microarray camera to obtain nine images in the same scene and use nine array images to achieve image segmentation. Through the microarray camera, we can obtain images quickly. The result of microarray camera and high-speed camera is similar, the shooting interval is short and the disparity information between array images is small. We use the Faster-RCNN algorithm and the GrabCut algorithm to segment target for the array images. Because of the size of microarray camera is small, it can be widely used on portable devices in the further. In comparison to Faster-RCNN network, the experimental results show that the proposed method is more efficient.

关键词： Cameras Lenses image segmentation Calibration Convolution Proposals Feature extraction

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Motion Planning and Tracking Control Method Based on CoppeliaSim for UGV in Irregular Terrain 5

Motion Planning and Tracking Control Method Based on Coppeli...

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5th World Robot Conference Symposium on Advanced Robotics and Automation, WRC SARA 2023

作者： Huang, Jiale Chen, Zhihua Zhong, Yongbo Zeng, Wenrui Ji, Chuanmin Nanchang Hangkong University Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Moe Key Lab of Nondestructive Testing Technology Nanchang330063 China

ISBN: (纸本)9798350307320

Path planning and tracking algorithms are one of the cores of autonomous navigation technology for unmanned ground vehicle (UGV). In this paper, a local obstacle avoidance method based on event-triggered control is proposed to ensure that the UGV avoids obstacles in the tracking process. First, the path planning and tracking control problem of the UGV is modeled and formulated. Second, the improvement and logical correlation of the relevant algorithms are described in detail. Finally, ajoint simulation of MATLAB and V-rep is performed. The simulation results show that event-triggered control can largely improve the reliability of the UGV path planning and tracking process, and verify the effectiveness of the algorithm. © 2023 IEEE.

关键词： Motion planning

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An object tracking algorithm based on occlusion mesh model

An object tracking algorithm based on occlusion mesh model

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian-Wei Zhao Peng Wang Chong-Qing Liu Institute of Image Processing & Pattern Recognition Shanghai Jiaotoug University China Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University China

The concept of an occlusion mesh model is introduced. An object tracking algorithm based on an occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. A mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experimental results indicate that the proposed algorithm is practical and feasible, it can be used for object tracking effectively. Also it solves the 2D motion estimation problem existing in occlusion regions and shows better visual performance.

关键词： Motion estimation Tracking Motion compensation image processing pattern recognition Object detection Layout Interpolation Algorithm design and analysis Electronic mail

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An Automatic Key-points Detection and Style Transfer based Method of Articulatory Animation Generation 23

An Automatic Key-points Detection and Style Transfer based M...

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9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Liu, Wei Ling, Xufeng Liang, Jingxin Wang, Xiaobo Yang, Jie Shanghai Normal University Tianhua College AI School No. 1661 North Sheng Xin Road China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University 800 Dongchuan Road 200240 China

ISBN: (纸本)9781450399029

The method of generating articulatory animation based on automatic key point detection and style transfer. This paper proposes a system of key-points detection and registration based on image feature space, and uses the GAN for motion transfer, which is used to automatically generate oral and tongue articulatory animation of English. First, by obtaining the standard articulation image of the International Phonetic Alphabet from the public dataset, we train a deep-learning motion model according to the characteristics of the tongue, upper jaw, lower jaw, small tongue, soft palate and other motion features, according to the characteristics of articulatory organ, and automatically detect the key-points in the image feature space. According to the existing MRI articulatory videos, using different styles of articulatory images, a generative model is used to generate end-to-end animation of different styles automatically. For different combinations of consonants and vowels, generate animation of different syllables, and according to different categories of articulatory, such as stress and light tone, adjust the duration of articulatory to form different animation of stress and light tone of the same syllable. And form the animation of words through syllables, and then form the animation of each sentence. Experiments show that this method can simulate realistic articulatory animation according to input phonetic symbols, and has a very positive effect on English articulatory correction. © 2023 Copyright held by the owner/author(s).

关键词： Animation

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