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Image-Based Framework for Concrete Surface Crack Monitoring and Quantification  [PDF]
ZhiQiang Chen,Tara C. Hutchinson
Advances in Civil Engineering , 2010, DOI: 10.1155/2010/215295
Abstract: In the engineering community, nondestructive imaging has been widely used for damage identification by capturing anomalies on the surface or inside of structural elements. In this paper, we focus on one of the most common damage types observed in civil engineering, namely, concrete surface cracks. To identify this type of damage, we propose an image-based framework, whereby optical cameras provide the source images. The framework involves several advanced image processing methods, including: (i) the determination of damage occurrence using time-series images, (ii) the localization of damage at each image frame, and (iii) the geometric quantification of damage. Challenges that may arise when images are obtained in the laboratory or field environment are addressed. Two application examples are provided to demonstrate the use and effectiveness of the proposed approach. 1. Introduction In the communities of structural health monitoring (SHM) and nondestructive evaluation (NDE), development of an automated structural damage identification solution has been a key objective. Most SHM methodologies rely on sensing of one-dimensional vibration signals, which are used to extract global modal features as signatures of structural integrity by using system identification-based or statistical pattern recognition-based methods [1, 2]; therefore, the awareness of structural damage is usually based on classifying these indirect signatures. Different from these SHM methodologies, NDE methods, especially when 2- or higher-dimensional imaging methods are employed, are able to provide a direct characterization of local structural damage. Depending on the nature of images, spatial extent and spectral variation of damage usually manifest themselves in the captured images. Subsequently, one can employ photogrammetric or image analysis methods to extract these damage characteristics quantitatively. A variety of imaging technologies have been developed in the NDE community in an effort to detect local structural damage to civil/mechanical systems or components. Widely used imaging devices include infrared thermography, microwave imaging, acoustic imaging, X-ray imaging, and other radiography-based methods [3]. Common types of structural damage encountered in practice include external or internal cracks, voids, delamination, and ablation, to name a few. To detect these different types of damage, the imaging device must often be customized to capture the characteristics associated with the physical damage; hence the resulting equipment may be expensive. In civil engineering,
Study of the Video Monitoring System Image Recognition Solutions Based on Mathematic models  [PDF]
Peilong Xu
International Journal of Computer Science Issues , 2013,
Abstract: objective: Through establishment a set of image recognition system based on mathematic models, to develop a auto alarm solution for the video monitoring system. Methods: compare the images the video monitoring system collected according to the time sequences. Then after binaryzation and wave filtering, the images were converted into numerical values using autocorrelation function, and the alarm threshold value was confirmed by experiences. Results: Through experiments, the change ratios of the two images before and after image processing were inversely proportional to the autocorrelation function. When the function value is less than 0.8, it indicates that there is an object volumes larger than 1m3 has invaded into 15m distances, and when the function value is less than 0.6, it indicates that there is an object volumes larger than 1m3 has invaded into 30m distances. Conclusion: Through calculation of autocorrelation functions, auto alarm for the images collected by video monitoring system could be effectively realized.
Comparison and Analysis of Content Based Image Retrieval Systems Based On Relevance Feedback
Latika Pinjarkar,Manisha Sharma,Kamal Mehta
Journal of Emerging Trends in Computing and Information Sciences , 2012,
Abstract: Content-based image retrieval has become one of the most active research areas in the past few years. In this paper various methodologies used in the research area of Content Based Image Retrieval techniques using Relevance Feedback are discussed. The comparison and analysis of these methods is done. Relevance feedback techniques were incorporated into Content-based image retrieval for obtaining more precise results. This is an open research area for the researchers in the field of Content-based image retrieval. The paper covers various relevance feedback techniques for Content Based Image Retrieval systems, the parameters used for experimental evaluation of the systems and the analysis of these techniques on the basis of their results
REMOTE SENSING MONITORING METHOD OF HYPERSPECTRAL AND HIGH-RESOLUTION FOR UNDERGROUND COAL BED COMBUSTION
地下煤层燃烧的高光谱及高分辨率遥感监测方法

TAN Ke-Long,ZHOU Ri-Ping,WAN Yu-Qing,LI Xian-Hua,
谭克龙
,周日平,万余庆,李先华

红外与毫米波学报 , 2007,
Abstract: Human beings are confronted with another grievous disaster coal fire. The monitoring on underground coal bed combustion relied on drilling supervising in the past, but this method is not good. By taking the coal fire of Gulaben mine in Inner Mongolia Autonomous Region as an example, the monitoring methods of underground coal bed combustion were explored based on the hyperspectra and high-resolution remote sensing technology. By employing the OMIS imaging apparatus developed by Shanghai Institute of Technical Physics of Chinese Academy of Sciences, the airborne hyperspectral images and the characteristic spectra of different types were obtained and the temperature was measured synchronously on the ground. Then according to the correlation of DN value of the thermal infrared band and surface temperature, the image information was processed, the spectral features were analyzed, and the surface temperature retrieval model was built. Finally, by hyperspectral imagery radiation temperature retrieval combining with the field geological surveys and ground test, the quantitative analysis and monitoring on the fires burning intensity were realized. The QUICKBIRD can be used during the whole course, it helps to find out the coal field fire regions distribution. The research result proves that this method can make us monitor the underground coal combustion situation factually and comprehensivly.
The Design and Implementation of Flame Image Processing and Combustion Diagnosis System Based on Web
基于Web的火焰图象处理和燃烧诊断系统的设计与实现

TU Xin,HUANG Qun-xing,ZHAO Jing-de,DING Jing-wei,MA Zeng-yi,YAN Jian-hu,CEN Ke-fa,
屠昕
,黄群星,赵静德,丁经纬,马增益,严建华,岑可法

中国图象图形学报 , 2003,
Abstract: In order to carry out the flame visualization and combustion intelligent diagnosis on pulverized coal furnace, and then give the instruction information for power plant staff, we have established a flame image processing and combustion diagnosis system based on Web. In this paper, firstly we propose a kind of browser/server three-layer structure based on Web and Java, then analyse the advantages of this kind of structure in detail. We apply this structure to the flame image processing and combustion diagnosis system . We use optical lens?CCD camera and image card converting the flame video signal to digital signal. By utilizing the flame image processing method and the radiation information of the furnace , we can monitor and analysis the state of combustion and the product of NOX on line. We have developed measurement of project temperature based on colorimetric method and reconstructed section temperature field in terms of ART(Algebraic Reconstruction Techniques). This system has appplied in two of the power plants, effectively improving the level of automatic supervising and safety in the power plants.
Image Encryption Based on the General Approach for Multiple Chaotic Systems  [PDF]
Qais H. Alsafasfeh, Aouda A. Arfoa
Journal of Signal and Information Processing (JSIP) , 2011, DOI: 10.4236/jsip.2011.23033
Abstract: In the recent years, researchers developed image encryption methods based on chaotic systems. This paper proposed new image encryption technique based on new chaotic system by adding two chaotic systems: the Lorenz chaotic system and the Rössler chaotic system. The main advantage of this technique is stronger security, as is shown in the encryption tests.
Image Processing based Systems and Techniques for the Recognition of Ancient and Modern Coins  [PDF]
Shatrughan Modi,Dr. Seema Bawa
Computer Science , 2013, DOI: 10.5120/7221-0041
Abstract: Coins are frequently used in everyday life at various places like in banks, grocery stores, supermarkets, automated weighing machines, vending machines etc. So, there is a basic need to automate the counting and sorting of coins. For this machines need to recognize the coins very fast and accurately, as further transaction processing depends on this recognition. Three types of systems are available in the market: Mechanical method based systems, Electromagnetic method based systems and Image processing based systems. This paper presents an overview of available systems and techniques based on image processing to recognize ancient and modern coins.
Analysis and interpretation of geodetic landslide monitoring data based on fuzzy systems
M. Haberler-Weber
Natural Hazards and Earth System Sciences (NHESS) & Discussions (NHESSD) , 2005,
Abstract: To place high precision geotechnical sensors exactly at the boundaries between blocks with different directions and rates of movement in a sliding area, it is important to detect these boundaries in a preceding step. An automated algorithm for the block detection based on fuzzy systems is presented. Combining objective geodetic indicators with fuzzy systems gives a powerful tool for the assessment of geodetic landslide monitoring data. The example of a landsliding area shows the applicability of the algorithm.
Sampling-based Decentralized Monitoring for Networked Embedded Systems  [PDF]
Ezio Bartocci
Computer Science , 2013, DOI: 10.4204/EPTCS.124.9
Abstract: Decentralized monitoring (DM) refers to a monitoring technique, where each component must infer, based on a set of partial observations if the global property is satisfied. Our work is inspired by the theoretical results presented by Baurer and Falcone at FM 2012, where the authors introduced an algorithm for distributing and monitoring LTL formulae, such that satisfaction or violation of specifications can be detected by local monitors alone. However, their work is based on the main assumption that neither the computation nor communication take time, hence it does not take into account how to set a sampling time among the components such that their local traces are consistent. In this work we provide a timed model in UPPAAL and we show a case study on a networked embedded systems board.
ZigBee Based Industrial Automation Profile for Power Monitoring Systems
Archana R. Raut,,Dr. L. G. Malik
International Journal on Computer Science and Engineering , 2011,
Abstract: Industrial automations which are mostly depend upon the power systems & which requires distance controlled and regulated systems. Mostly voltage and current equipped parameters along with power and energy management system forms the industrial scenario for automations. Wireless technology which meets to cost, speed and distance scenario will always be a point of an interest for research. In this research work we mainly monitored power related parameters and enable remote switching devices for proper power management systems using ZigBee. This paper proposes a digital system for condition monitoring, diagnosis, and supervisory control for electric systems parameters like voltage and current using wireless sensor networks (WSNs) based on ZigBee. Its main feature is its use of the ZigBee protocol as the communication medium between the transmitter and receiver modules. It illustrates that the new ZigBee standard performs well industrial environments.
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