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Application of a novel image moment computation in X-ray and MRI image watermarking

IET image processing 2021年第3期15卷 666-682页

作者： Singh, Manoj K. Kumar, Sanoj Ali, Musrrat Saini, Deepika Univ Petr & Energy Studies Dept Math Dehra Dun 248007 Uttarakhand India King Faisal Univ PYD Dept Basic Sci Al Hasa Saudi Arabia Graph Era Deemed Univ Dept Math Dehra Dun Uttarakhand India

Orthogonal polar image moments which are defined over a unit disk, are used often in watermarking applications. One such image moment is polar harmonic Fourier transformation (PHFT). The quality of the extracted watermark depends on the accuracy of the computed image moments. Various methods have already been used for the computation of the moments with varying degrees of accuracy. This study proposes application of a novel image moments computation method which is a synergy of analytic, and numerical techniques, to image watermarking. The computed moment results in a robust watermark extraction. The PHFT have rotation, and scaling invariance property, which allows the watermark to resist various geometric attacks. In addition to the geometric attacks the watermark has the capability to resist various signal processing attacks. The performance of the proposed watermarking scheme is performed with the methods used in recently published articles. The experimental results show that the proposed method has the better performance compared to other techniques, and has better capability to resist various attacks.

关键词： Optical, image and video signal processing image and video coding Biomedical magnetic resonance imaging and spectroscopy X-ray techniques: radiography and computed tomography (biomedical imaging/measurement) computer vision and image processing techniques Medical magnetic resonance imaging and spectroscopy X-rays and particle beams (medical uses) Patient diagnostic methods and instrumentation Biology and medical computing

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vision-based adaptive guidance law for intercepting a manoeuvring target

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IET CONTROL THEORY AND APPLICATIONS 2011年第3期5卷 421-428页

作者： Tian, Y. Li, Y. Ren, Z. Beijing Univ Aeronaut & Astronaut Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Univ New S Wales Sch Surveying & Spatial Informat Syst Sydney NSW 2052 Australia

This article introduces an adaptive guidance law for intercepting a manoeuvring target using information from an imaging seeker. The relative missile-target kinematics is represented in the line-of-sight (LOS) frame, and the image information - instead of the relative range - is introduced to formulate the interception problem as an adaptive control problem with an unknown control coefficient. Considering the target's acceleration as a time-varying bounded external disturbance, an estimator with an adaptive property is derived. It is proven that the proposed guidance law can guarantee the LOS angular rates global uniform ultimate boundedness during the terminal course. The effectiveness of the proposed guidance law has been demonstrated in simulations for two kinds of typical manoeuvring targets.

关键词： Aerospace control missile guidance adaptive control Self-adjusting control systems imaging seeker Military radar, detection and tracking systems angular rates global uniform ultimate boundedness line-of-sight frame adaptive control problem missile target kinematics vision based adaptive guidance law object detection computer vision Military control systems computer vision and image processing techniques Optical, image and video signal processing manoeuvring target interception time varying bounded external disturbance

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HNSF Log-Demons: Diffeomorphic demons registration using hierarchical neighbourhood spectral features

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IET image processing 2021年第11期15卷 2666-2679页

作者： Du, Xiaogang Gu, Dongxin Lei, Tao Wang, Song Zhang, Xuejun Meng, Hongying Shaanxi Univ Sci & Technol Shaanxi Joint Lab Artificial Intelligence Xian 710021 Peoples R China Shaanxi Univ Sci & Technol Sch Elect Informat & Artificial Intelligence Xian Peoples R China Lanzhou Jiaotong Univ Sch Elect & Informat Engn Lanzhou Peoples R China Brunel Univ London Dept Elect & Comp Engn Uxbridge Middx England

Many biomedical applications require accurate non-rigid image registration that can cope with complex deformations. However, popular diffeomorphic Demons registration algorithms suffer from difficulties for complex and serious distortions since they only use image greyscale and gradient information. To address these difficulties, a new diffeomorphic Demons registration algorithm is proposed using hierarchical neighbourhood spectral features namely HNSF Log-Demons in this paper. In view of three important properties of hierarchical neighbourhood spectral features based on line graph such as rotation invariance, invariance of linear changes of brightness, and robustness to noise, the hierarchical neighbourhood spectral features of a reference image and a moving image is first extracted and these novel spectral features are incorporated into the energy function of the diffeomorphic registration framework to improve the capability of capturing complex distortions. Secondly, the Nystro''m approximation based on random singular value decomposition is employed to effectively enhance the computational efficiency of HNSF Log-Demons. Finally, the hybrid multi-resolution strategy based on wavelet decomposition in the registration process is utilised to further improve the registration accuracy and efficiency. Experimental results show that the proposed HNSF Log-Demons not only effectively ensures the generation of smooth and reversible deformation field, but also achieves better performance than state-of-the-art algorithms.

关键词： Optical, image and video signal processing computer vision and image processing techniques Patient diagnostic methods and instrumentation Biology and medical computing

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Fusion of panchromatic and multispectral images using temporal Fourier transform

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IET image processing 2010年第4期4卷 255-260页

作者： Mahyari, A. G. Yazdi, M. Shiraz Univ Fac Elect & Comp Engn Shiraz Iran

image fusion techniques can be used to enhance the resolution of multispectral (MS) image, which is helpful for categorisation, recognition as well as other decision making processes. In this paper, a new class of image fusion algorithms is proposed that decomposes images into similar and non-similar information and fuses the corresponding non-similar one. It is based on temporal Fourier analysis. The details of panchromatic (PAN) image are fused with details of MS image by eliminating their similar information which is done by high-pass filtering of their temporal Fourier transform. The cut-off frequency of this filtering is obtained adaptively based on the input MS and PAN images. It results in minimum spectral and spatial distortion. The experimental results demonstrate the superior performance of the proposed method

关键词： image resolution PAN images cut-off frequency multispectral image resolution Filtering methods in signal processing spectral analysis high pass filtering computer vision and image processing techniques image recognition panchromatic images image fusion temporal Fourier transform Optical, image and video signal processing Integral transforms image classification decision making processes filtering theory Fourier transforms image fusion algorithm MS images

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Detection method of eyes opening and closing ratio for driver's fatigue monitoring

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IET INTELLIGENT TRANSPORT SYSTEMS 2021年第1期15卷 31-42页

作者： Zhao, Qijie Jiang, Junye Lei, Zhigao Yi, Jingang Shanghai Univ Shanghai Key Lab Intelligent Mfg & Robot Sch Mechatron Engn & Automat Shanghai Peoples R China Shanghai Key Lab Intelligent Mfg & Robot Shanghai Peoples R China Rutgers State Univ Dept Mech & Aerosp Engn Piscataway NJ USA

Eyes opening and closing status is one of the most important components to monitor the driver's fatigue.d The current research mainly considers eyes blink frequency and the closing duration to judge the driver's fatigue. To identify driver's fatigue level, eyes opening and closing ratio (EOCR) is a critical factor and therefore, it is desirable to detect EOCR for driver's fatigue monitoring. The proposed method aims to simultaneously segment images and measure the parameters of the EOCR. A BiSeNet-based iris and pupil segmentation network is first proposed and the Visual Geometry Group (VGG) ConvNet-based model to detect the EOCR value is provided by considering the main features rounding eyes area and the iris-pupil size for building test dataset. The comparison experiments are conducted with the proposed method and the other existing work in different datasets, such as CASIA-Iris-Thousand, CASIA-Iris-Interval, and UBIRIS.v2. The results demonstrate that the proposed method has superior detection effects on both infrared images and colour images than other existing approaches. Furthermore, the experiments of detecting the EOCR and iris and pupil segmentation are carried out with the test dataset and the results show that the proposed method can reliably identify driver's eye opening and closing degree.

关键词： Optical, image and video signal processing image recognition computer vision and image processing techniques

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MSR-FAN: Multi-scale residual feature-aware network for crowd counting

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IET image processing 2021年第14期15卷 3512-3521页

作者： Zhao, Haoyu Min, Weidong Wei, Xin Wang, Qi Fu, Qiyan Wei, Zitai Nanchang Univ Sch Informat Engn Nanchang 330031 Jiangxi Peoples R China Nanchang Univ Sch Software Nanchang 330047 Jiangxi Peoples R China Jiangxi Key Lab Smart City Nanchang 330047 Jiangxi Peoples R China

Crowd counting aims to count the number of people in crowded scenes, which is important to the security systems, traffic control and so on. The existing methods typically using local features cannot properly handle the perspective distortion and the varying scales in congested scene images, and henceforth perform wrong people counting. To alleviate this issue, this study proposes a multi-scale residual feature-aware network (MSR-FAN) that combines multi-scale features using multiple receptive field sizes and learns the feature-aware information on each image. The MSR-FAN is trained end-to-end to generate high-quality density map and evaluate the crowd number. The method consists of three parts. To handle the perspective changes problem, the first part, the direction-based feature-enhanced network, is designed to encode the perspective information in four directions based on the initial image feature. The second part, the proposed multi-scale residual block module, gets the global information to handle the represent the regional feature better. This module explores features of different scales as well as reinforce the global feature. The third part, the feature-aware block, is designed to extract the feature hidden in the different channels. Experiment results based on benchmark datasets show that the proposed approach outperforms the existing state-of-the-art methods.

关键词： image recognition computer vision and image processing techniques Machine learning (artificial intelligence)

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Multiple-camera lane departure warning system for the automotive environment

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IET INTELLIGENT TRANSPORT SYSTEMS 2012年第3期6卷 223-234页

作者： Cualain, D. O. Glavin, M. Jones, E. Natl Univ Ireland Coll Engn & Informat Connaught Automot Res Grp Galway Ireland

The increasing trend towards the use of image sensors in transportation is driven both by legislation and consumer demands for higher safety and a better driving experience. Awareness of the environment that surrounds a vehicle can make driving and manoeuvring of the vehicle much safer for all road users. The authors present an image-processing method to detect lane departures using video taken from multiple optical cameras that is specifically designed to be in accordance with proposed automotive lane departure warning standards. This multi-camera system is more robust to errors caused by lane marking occlusions, sensor failure and glare that single camera systems can suffer from. The system uses a novel lane marking segmentation algorithm in accordance with international standards for lane markings. This method does not demand the high computational requirements of inverse perspective mapping (IPM) unlike methods proposed in related research. The authors present a method for lane boundary modelling based on subtractive clustering and Kalman filtering, which is within the constraints of automotive standards. Finally, using the cameras intrinsic and extrinsic parameters, the width of the vehicle and guidelines issued by the International Organisation for Standardisation, the authors show how lane departure can be identified. Results are presented that verify the system's high detection rate and robustness to various background interference, lighting conditions and road environments.

关键词： Traffic engineering computing subtractive clustering multiple optical cameras Kalman filtering Kalman filters Filtering methods in signal processing inverse perspective mapping multiple-camera lane departure warning system International Organisation for Standardisation computer vision and image processing techniques automotive environment Optical, image and video signal processing sensor failure image segmentation pattern clustering object detection image-processing method lane departure detection lane marking segmentation algorithm image sensors image sensors lane boundary modelling automotive lane departure warning standards traffic engineering computing lane marking occlusions

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Secure private fragile watermarking scheme with improved tampering localisation accuracy

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IET INFORMATION SECURITY 2010年第3期4卷 137-148页

作者： Bravo-Solorio, S. Gan, L. Nandi, A. K. Aburdene, M. F. Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GZ Merseyside England

In some applications, such as surveillance cameras, it is essential that images acquired with the same device be deemed distinct. To fulfil this requirement, many fragile watermarking methods need to employ a different key for every single image. Keeping track of the correct key associated with each image may become a challenging task as the number of images increases. An existing image index-based scheme as a suitable solution for this problem is revisited, and its security limitations in applications are highlighted where higher localisation accuracy is required. Then, a new fragile watermarking scheme that enhances the localisation accuracy is proposed, while hindering brute force attacks. Experiments demonstrate that the proposed scheme outperforms the state-of-the-art private fragile watermarking methods.

关键词： private fragile watermarking scheme data privacy computer vision and image processing techniques image and video coding image coding brute force attacks watermarking Data security image index-based scheme tampering localisation accuracy

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Looking to build a model world: Automatic construction of static object models using computer vision

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ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL 1998年第3期10卷 103-113页

作者： Illingworth, J Hilton, A Univ Surrey Sch Elect Engn Informat Technol & Math Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England

Recent interest in virtual reality and multimedia has provided a great impetus to the development of automatic techniques for building graphical CAD/CAM models of objects and environments by sensing reality itself. The learning of models in this way is essential, particularly in terms of production times and attaining the required high fidelity needed for many applications Research has produced techniques for extracting full 3D shape models using a variety of sensors and a spectrum of techniques. These include the use of static video cameras, mobile video cameras (e.g. walk through video), multiple camera platforms and/or specialist active range sensors (typically based on laser striping or sonar). This paper introduces the principles and methodologies underlying several of these methods and presents algorithms and examples from systems representative of three major approaches: models from silhouettes, models from active range sensors and, finally, models from passive uncalibrated video sequences.

关键词： graphical CAD/CAM models walk through video video signal processing multiple camera platform 3D shape models static video cameras production times Graphics techniques automatic construction computer vision silhouettes multimedia laser striping sonar mobile video cameras computer vision and image processing techniques virtual reality solid modelling static object models active range sensors model world passive uncalibrated video sequences image sequences

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Urban road user detection and classification using 3D wire frame models

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IET computer vision 2010年第2期4卷 105-116页

作者： Buch, N. Orwell, J. Velastin, S. A. Kingston Univ London Digital Imaging Res Ctr Kingston upon Thames KT1 2EE Surrey England

This study presents a detection and classification system for vehicles and pedestrians in urban traffic scenes. This aims to guide surveillance operators and reduce human resources for observing hundreds of cameras in urban traffic surveillance. The authors perform per frame vehicle detection and classification using 3D models on calibrated cameras. Motion silhouettes (from background estimation) are extracted and compared to a projected model silhouette to identify the ground plane position and class of vehicles and pedestrians. The system is evaluated with the reference i-LIDS datasets from the UK Home Office. Performance for varying numbers of classes for three different weather conditions and for different video input filters is evaluated. The full system including detection and classification achieves a recall of 87% at a precision of 85.5% outperforming similar systems in the literature. The i-LIDS dataset is available to other researchers to compare with our results. The authors conclude with an outlook to use local features for improving the classification and detection performance.

关键词： vehicles road user classification Video signal processing UK Home Office Traffic engineering computing urban traffic scenes image and video coding motion estimation motion silhouettes road vehicles i-LIDS datasets pedestrians 3D wire frame models computer vision and image processing techniques surveillance operators road traffic urban road user detection calibrated cameras video surveillance video signal processing

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