2017 International Conference on Computing Intelligence and Information System (CIIS)最新文献_第7页

The Measurement and Modeling Analysis for Internet Users Behavior Properties 互联网用户行为属性的测量与建模分析

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.28

Yijing Ren, Ren R, Wang Wr

引用次数: 0

Infrared Image Change Detection of Substation Equipment in Power System Using Markov Random Field 基于马尔可夫随机场的电力系统变电设备红外图像变化检测

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.54

Jipu Gao, Changbao Xu, Li Zhang, Shuaiwei Liu, Weigang Feng, S. Xiong, Shan Tan

{"title":"Infrared Image Change Detection of Substation Equipment in Power System Using Markov Random Field","authors":"Jipu Gao, Changbao Xu, Li Zhang, Shuaiwei Liu, Weigang Feng, S. Xiong, Shan Tan","doi":"10.1109/CIIS.2017.54","DOIUrl":"https://doi.org/10.1109/CIIS.2017.54","url":null,"abstract":"An infrared image change detection method based on Markov Random Field (MRF) was proposed to estimate the status of substation equipment in the power system. The method classified changed and unchanged regions between bitemporal images using MRF with k-means clustering initializing the label of all pixels of the sample image. The proposed method used the target pixel and its neighborhood information to realize the determination of the category of the target pixel. In our method, the original bi-temporal infrared images were converted to two gray-level images, and one difference image was obtained by subtracting one gray-level image from another, pixel by pixel. Change areas were then detected on the gray-level difference image using inference techniques on MRF. To demonstrate the excellent performance of our method, comparative experiments were made using the other four classical approaches, including Image Differencing, Image Ratioing, Change vector analysis (CVA) and Principal Component Analysis (PCA). In order to quantify the performance of different algorithms for a quantitative comparison, six performance indexes, i.e. Kappa value, Probability of False detection (PF), Probability of Omission detection (PO), Card Similarity Index (CSI), Classification Error (CE) and Area Error (AE) were adopted in this paper. The experimental results showed that compared with the four classical methods, the proposed method can effectively reduce PO and PF, and improve the overall detection accuracy.","PeriodicalId":254342,"journal":{"name":"2017 International Conference on Computing Intelligence and Information System (CIIS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115194137","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: 5

QoS-based Trust Computing Scheme for SLA Guarantee in Cloud Computing System 云计算系统中基于qos的SLA保障信任计算方案

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2017-04-01 DOI: 10.1109/CIIS.2017.42

Lihong Bao

引用次数: 5

Enhancing Particle Swarm Algorithm for Multimodal Optimization Problems 多模态优化问题的改进粒子群算法

2017 International Conference on Computing Intelligence and Information System (CIIS) Pub Date : 2013-02-28 DOI: 10.4156/JCIT.VOL8.ISSUE4.63

Jin Wang

引用次数: 6