2009 Second International Conference on Machine Vision最新文献_第7页

Semi-fragile Image Authentication Using Robust Image Hashing with Localization 基于鲁棒图像哈希定位的半脆弱图像认证

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.66

A. Hassan, A. Al-Hamadi, B. Michaelis, Y. Hasan, Mohamed A. A. Wahab

{"title":"Semi-fragile Image Authentication Using Robust Image Hashing with Localization","authors":"A. Hassan, A. Al-Hamadi, B. Michaelis, Y. Hasan, Mohamed A. A. Wahab","doi":"10.1109/ICMV.2009.66","DOIUrl":"https://doi.org/10.1109/ICMV.2009.66","url":null,"abstract":"The great advance in image processing demands a guarantee for assuring integrity of images. In this paper, a semi-fragile image authentication technique is proposed, which can detect and localize the malicious alteration distinguishing the content-preserving manipulations, such as JPEG compression, from the content alterations. The original image is divided into large blocks (sub-images) that are also divided into 8x8 blocks. Secure image hashing is utilized to generate the sub-image hash (signature) that may slightly change when the content-preserving manipulations are applied. Then, two sub-image hash copies are embedded into relatively-distant sub-images using a doubly linked chain, which prevents the vector quantization (VQ) attack. The hash bits are robustly embedded in chosen discrete cosine transform (DCT) coefficients exploiting a property of DCT coefficients that is invariant before and after JPEG compression. The experimental results show that the proposed technique successfully detects and localizes the content alterations only. Furthermore, It can effectively resist many attacks such as vector quantization attacks.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128830091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Frame Design and Algorithm Research on A New Image Acquisition System 一种新型图像采集系统的框架设计与算法研究

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.75

L. Bo, Cheng Ping-guang

引用次数: 0

A Machine Vision Application for Industrial Assembly Inspection 机器视觉在工业装配检测中的应用

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.51

J. Jia

引用次数: 24

Early Software Fault Prediction Using Real Time Defect Data 利用实时缺陷数据进行早期软件故障预测

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.54

A. Kaur, P. Sandhu, Amanpreet Singh Bra

{"title":"Early Software Fault Prediction Using Real Time Defect Data","authors":"A. Kaur, P. Sandhu, Amanpreet Singh Bra","doi":"10.1109/ICMV.2009.54","DOIUrl":"https://doi.org/10.1109/ICMV.2009.54","url":null,"abstract":"Quality of a software component can be measured in terms of fault proneness of data. Quality estimations are made using fault proneness data available from previously developed similar type of projects and the training data consisting of software measurements. To predict faulty modules in software data different techniques have been proposed which includes statistical method, machine learning methods, neural network techniques and clustering techniques. The aim of proposed approach is to investigate that whether metrics available in the early lifecycle (i.e. requirement metrics), metrics available in the late lifecycle (i.e. code metrics) and metrics available in the early lifecycle (i.e. requirement metrics) combined with metrics available in the late lifecycle (i.e. code metrics) can be used to identify fault prone modules by using clustering techniques. This approach has been tested with three real time defect datasets of NASA software projects, JM1, PC1 and CM1. Predicting faults early in the software life cycle can be used to improve software process control and achieve high software reliability. The results show that when all the prediction techniques are evaluated, the best prediction model is found to be the fusion of requirement and code metric model.","PeriodicalId":315778,"journal":{"name":"2009 Second International Conference on Machine Vision","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114460473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 34

Automation in Automobiles: Power Seat 汽车自动化:电动座椅

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.58

Akshay Lahiry, Samarth Chanana, Sourabh Kanwar

引用次数: 5

A Conditional Selection of Orthogonal Legendre/Chebyshev Polynomials as a Novel Fingerprint Orientation Estimation Smoothing Method 条件选择正交Legendre/Chebyshev多项式作为指纹方向估计平滑新方法

2009 Second International Conference on Machine Vision Pub Date : 2009-12-28 DOI: 10.1109/ICMV.2009.49

A. Tashk, M. Helfroush, M. Dehghani

引用次数: 3

Spur Gear Design With an S-shaped Transition Curve Application Using MATHEMATICA and CAD Tools 利用MATHEMATICA和CAD工具进行s型过渡曲线直齿齿轮设计

2009 Second International Conference on Machine Vision Pub Date : 2009-11-13 DOI: 10.1109/ICMV.2009.19

S. H. Yahaya, M. S. Salleh, J. Ali

引用次数: 9