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An Improved Watershed Foreign Object Detection of Road Surface Based on Adaptive Gaussian Threshold 12

An Improved Watershed Foreign Object Detection of Road Surfa...

引用

SPIE 12th International Symposium on Multispectral image processing and pattern recognition, MIPPR 2023

作者： Liang, Yongjie Tian, Keyun Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan430205 China Hubei Engineering Research Center of Video Image and HD Projection Wuhan430205 China School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan430205 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

To a certain extent, foreign objects on road surfaces can cause damage to vehicles and increase the risk of accidents, which is even more immeasurably harmful in such special scenarios as airports. Effective detection of foreign objects on road surfaces is of great significance to airport flight safety and road safety maintenance. Due to the traditional watershed segmentation method in the recognition of foreign objects, there are obvious over-segmentation, noise complexity and so on. Therefore, this paper proposes an improved watershed segmentation method based on Lab-color space using image filtering techniques and morphological operations to initially separate the image foreground and background, combined with Adaptive Gaussian thresholding, labeling method for detection. This effectively solves the problem of over-segmentation, can better suppress image noise, and accurately detects foreign objects on road surfaces. © 2024 SPIE.

关键词： Object detection

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Use Fukunaga-Koontz Transform to Solve Occlusion Problems in Multitarget Tracking

Use Fukunaga-Koontz Transform to Solve Occlusion Problems in...

引用

Chinese Conference on pattern recognition (CCPR)

作者： Yan Zhang Fanglin Wang Shengyang Yu Third Research Institute of Ministry of Public Security Shanghai China Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China

For multitarget tracking problems, occlusions between targets are quite tough tasks. We present a novel algorithm to solve such problems. For the two targets in occlusions, Fukunaga-Koontz transform is exploited to achieve the projection matrix, with which the two targets are projected into a low dimensional space where they are quite distinguishing. To solve the problem of the change of target appearance, the eigenspace model is used as the probabilistic observation model, with which the algorithm can learn the changes of the target appearance online. These two procedures are evaluated in the particle filter based tracking framework. Experimental results demonstrated the effectiveness of our algorithm.

关键词： Target tracking Yttrium Particle filters Particle tracking Application software Equations Security image processing pattern recognition Computer vision

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An implementation of postal numerals segmentation and recognition system for Chinese business letters

An implementation of postal numerals segmentation and recogn...

引用

International Conference on Document Analysis and recognition

作者： Yue Lu Pengfei Shi Jianzhong Wu Jianming Rui Institute of Image Processing & Pattern Recognition Shanghai Jiaotong University Shanghai China The Third Research Institute Ministry of Posts and Telecommunications Shanghai China

ISBN: (纸本)0769503187

A practical postal numeral segmentation and recognition system for Chinese business letters is presented. Line information for the address blocks is gained from the envelope image by projection, then the sub-image of the postal numerals is segmented. The numerals are recognized by three independent classifiers, and their results are combined to form final results. An improved voting principle based on a priori knowledge of each classifier is utilized to combine multiple classifiers in order to achieve perfect performance for high recognition rate and low error rate. The recognition ability of each classifier, acting with the voting principle, is obtained by statistics for a large set of samples. Different thresholds gained by training are employed for different classes, which can yield better results. A parallel structure hardware is designed to implement a real-time image processing system. The performance of the system is shown to be satisfactory, sufficient for the requirements of practical use.

关键词： image segmentation image processing image recognition Voting Real time systems Character recognition pattern recognition Error analysis Sorting Electronic mail

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Three dimensional palmprint recognition

Three dimensional palmprint recognition

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Wei Li Lei Zhang David Zhang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Biometrics Research Center Department of Computing Hong Kong Polytechnic University Hong Kong China

Palmprint has been widely studied as its high accuracy and low cost. Most of the previous studies are based on two dimensional (2D) image of the palmprint. However, 2D image can be easily forged, which will threaten the security of palmprint authentication system. Furthermore, 2D image can be easily affected by noise, such as scrabbling and dirty in the palm. To overcome these shortcomings, we develop a three dimensional (3D) palmprint identification system. The structured-light imaging technology is adopted to collect the 3D palmprint data, from which the stable mean curvature image (MCI) is extracted. Then the competitive coding (CompCode) technique is used to code the 3D palmprint pattern according the MCI. By using score level fusion of MCI and its CompCode, promising recognition performance is achieved on our established 3D palmprint database.

关键词： Biometrics Authentication pattern recognition image recognition Data acquisition Time measurement Surface reconstruction image reconstruction Costs Data security

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Generalized stochastic tube model: tracking 3D blood vessels in MR images

Generalized stochastic tube model: tracking 3D blood vessels...

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International Conference on pattern recognition

作者： Qian Huang G.C. Stockman Almaden Research Center San Jose CA USA Pattern Recognition and Image Processing Laboratory Department of Computer Science Michigan State University East Lansing MI USA

This paper addresses the issue of tracking tubular objects, particularly blood vessels from MR images. A model-based approach is adopted. The generalized stochastic tube (GST) model is developed which is an extension of our previously proposed (1993) generalized tube (GT) model. Transitions among adjacent tubes are explicitly parameterized. Integrated with a bivariate Gaussian density function adopted to model the blood flow within cross sections, the GST model is applied to tracking blood vessels in MRA volumetric data. Experimental results on both synthetic data with different degrees of Gaussian noise and real MRA data demonstrated that simultaneously utilizing both models yields robust performance under noisy conditions.

关键词： Stochastic processes Blood vessels Biomedical imaging Shape Blood flow Gaussian noise image recognition Solid modeling pattern recognition Density functional theory

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An Improved Bilateral Filtering Based on Curvature Feature for Point Cloud Denoising in Road Surface Detection 12

An Improved Bilateral Filtering Based on Curvature Feature f...

引用

SPIE 12th International Symposium on Multispectral image processing and pattern recognition, MIPPR 2023

作者： Chen, Si Hubei Key Laboratory of Optical Information and Pattern Recognition Wuhan430205 China Hubei Engineering Research Center of Video Image and HD Projection Wuhan430205 China School of Electrical and Information Technology Wuhan Institute of Technology Wuhan430205 China

ISBN: (数字)9781510675001

ISBN: (纸本)9781510674998

To effectively remove noise from the point clouds obtained for road surface defect detection while preserving the feature information, a bilateral filtering algorithm based on curvature features is proposed for denoising road surface defect point clouds. First, divide the noise points in the point cloud into several regions based on their distribution characteristics and curvature features. Then use statistical filtering to remove noise points in the obvious noise area and the flat area. Finally, an improved bilateral filtering algorithm is applied to smooth the noise points in the complex detail area. © 2024 SPIE.

关键词： Surface defects

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Principal line based ICP alignment for palmprint verification

Principal line based ICP alignment for palmprint verificatio...

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IEEE International Conference on image processing

作者： Wei Li Lei Zhang David Zhang Jingqi Yan Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Biometrics Research Center Department of Computing Hong Kong Polytechnic University Hong Kong China

image alignment is a crucial step in palmprint verification. However, most of the existing palmprint alignment methods use only some key points between fingers or in palm boundary to extract the region of interest (ROI), which is consequently used for feature extraction and matching. Such alignment methods can only give a coarse alignment of the palmprint images. This paper presents a new effective refinement method for palmprint alignment by adapting the iterative closest point (ICP) method to the palmprint principal lines. The proposed method offers a more accurate alignment of palmprints by correcting efficiently the shifting, rotation and scaling variations introduced in data acquisition. The experimental results show that the proposed method can greatly improve the palmprint verification accuracy in real time.

关键词： Iterative closest point algorithm Biometrics Fingers Feature extraction Data mining Iterative methods Authentication Shape image processing pattern recognition

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Comparative analysis of audio watermarking technique in MDCT domain with other references in spectral domain

Comparative analysis of audio watermarking technique in MDCT...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Maha Bellaaj Kaïs Ouni Research Unit of Signal Processing Image and Pattern Recognition National Engineering School of Tunis University Tunis El Manar II Tunis Tunisia

ISBN: (纸本)9781467315906

In this paper we propose a comparative review between the proposed digital audio watermarking technique and those achieved by Luigi Rosa and Rolf Brigola. The performed technique operates in the frequency domain. The time-frequency mapping is done using a Modified Discrete Cosine Transform (MDCT). The technique developed by Luigi Rosa operates in the frequency domain but using the Discrete Cosine Transform (DCT) as transformation and that proposed by Rolf Brigola uses the Fast Fourier Transform (FFT). We studied the robustness of each technique against different types of attack and we evaluated the inaudibility by using a statistical approach by calculating the SNR and an objective approach by calculating the ODG notes given by PEAQ.

关键词： Robustness Discrete cosine transforms Frequency domain analysis Watermarking Signal to noise ratio Niobium Psychoacoustic models

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Structural Mixtures for Statistical Layout Analysis

Structural Mixtures for Statistical Layout Analysis

引用

IAPR International Workshop on Document Analysis Systems, DAS

作者： Faisal Shafait Joost van Beusekom Daniel Keysers Thomas M. Breuel Image Understanding and Pattern Recognition (IUPR) Research Group German Research Center for Artificial Intelligence (DFKI) Kaiserslautern Germany Technische Universitat Kaiserslautern Kaiserslautern Rheinland-Pfalz DE Image Understanding and Pattern Recognition (IUPR) Research Group Technical University of Kaiserslautern Germany

A key limitation of current layout analysis methods is that they rely on many hard-coded assumptions about document layouts and can not adapt to new layouts for which the underlying assumptions are not satisfied. Another major drawback of these approaches is that they do not return confidence scores for their outputs. These problems pose major challenges in large scale digitization efforts where a large number of different layouts need to be handled and manual inspection of the results on each individual page is not feasible. This paper presents a novel statistical approach to layout analysis that aims at solving the above mentioned problems for Manhattan layouts. The presented approach models known page layouts as a structural mixture model. A probabilistic matching algorithm is presented that gives multiple interpretations of input layout with associated probabilities. First experiments on documents from the publicly available MARG dataset achieved below 5%error rate for geometric layout analysis.

关键词： Books image segmentation image analysis pattern analysis Text analysis Large-scale systems pattern recognition Artificial intelligence Inspection Probability

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Three-dimensional ultrasonic data smooth and endocardial extraction

Three-dimensional ultrasonic data smooth and endocardial ext...

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International Conference on BioMedical Engineering and Informatics (BMEI)

作者： Xionghu Luo Huilin Xiong Guozhen Chen Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China Department of Heart Center Shanghai Children's Medical Center Shanghai China

This paper presents a new approach for visualizing the surfaces from 3D ultrasound data. 3D ultrasound data usually contain substantial quantity of speckle noise, which makes the extraction of smooth and continuous surfaces extremely difficult. In this paper, combining the partial differential equation model of anisotropic diffusion filter with the Lee filter, we present a new algorithm for handling 3D ultrasound data, aiming to suppress the speckle noise, and meanwhile, smooth the ultrasound image. Additionally, the marching cubes algorithm is applied to extract a smooth endocardial surface. Comparing experiments are presented to illustrate the effectiveness of our approach.

关键词： Noise Mathematical model Anisotropic magnetoresistance Three dimensional displays Speckle Rendering (computer graphics) Filtering algorithms

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