2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)最新文献_第7页

O-LEACH of Routing Protocol for Wireless Sensor Networks 无线传感器网络路由协议的O-LEACH

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.84

Wassim Jerbi, Abderrahmen Guermazi, H. Trabelsi

{"title":"O-LEACH of Routing Protocol for Wireless Sensor Networks","authors":"Wassim Jerbi, Abderrahmen Guermazi, H. Trabelsi","doi":"10.1109/CGIV.2016.84","DOIUrl":"https://doi.org/10.1109/CGIV.2016.84","url":null,"abstract":"LEACH protocol called Low Energy Adaptive Clustering Hierarchy, is a protocol that allows the formation of distributed cluster. In each cluster, LEACH randomly selects some sensor nodes called cluster heads (CHs). The selection of CHs is made with a probabilistic calculation. It is supposed that each non-CH node joins a cluster and becomes a cluster member. Nevertheless, some CHs can be concentrated in a specific part of the network. Thus several sensor nodes cannot reach any CH. to solve this problem. We created an O-LEACH Orphan nodes protocol, its role is to reduce the sensor nodes which do not belong the cluster. O-LEACH present two scenarios, the first scenario consists, a cluster member will be able to play the role of a gateway which allows the joining of orphan nodes. The gateway node has to connect a number of orphan nodes, thus the gateway node is considered as a CH' for connected orphans. As a result, orphan nodes become able to send their data messages to the CH' which performs in turn data aggregation and send aggregated data message to the CH. The second scenario consists, if in an area not covered, the number of orphan nodes is very important, if number of cluster member is superior to number of orphan nodes, a sub-cluster will be created. The first orphan node reached the gateway (member of cluster) will be a CH'. O-Leach enables the formation of a new method of cluster, leads to a long life and minimal energy consumption. In orphan node possess enough energy and seeks to be covered by the network. The principal novel contribution of the proposed work is O-LEACH protocol which provides coverage of the whole network with a minimum number of orphaned nodes and has a very high connectivity rates. The simulation results show that O-LEACH performs better than LEACH in terms of coverage, connectivity rate, energy and scalability.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125218003","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: 54

Image Authentication Based on Faber Schauder DWT 基于Faber Schauder DWT的图像认证

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.24

Assma Azeroual, K. Afdel

引用次数: 0

Local Fog Detection Based on Saturation and RGB-Correlation 基于饱和和rgb相关的局部雾检测

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.10

Salma Alami, A. Ezzine, Fouad Elhassouni

引用次数: 9

Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector Machine) 支持向量机在老年痴呆症早期诊断中的应用

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.76

Amira Ben Rabeh, F. Benzarti, H. Amiri

{"title":"Diagnosis of Alzheimer Diseases in Early Step Using SVM (Support Vector Machine)","authors":"Amira Ben Rabeh, F. Benzarti, H. Amiri","doi":"10.1109/CGIV.2016.76","DOIUrl":"https://doi.org/10.1109/CGIV.2016.76","url":null,"abstract":"Alzheimer is a disease that affects the brain. It causes degeneration of nerve cells (neurons) and in particular cells involved in memory and intellectual functions. Early diagnosis of Alzheimer Diseases (AD) raises ethical questions, since there is, at present, no cure to offer to patients and medicines from therapeutic trials appear to slow the progression of the disease as moderate, accompanying side effects sometimes severe. In this context, analysis of medical images became, for clinical applications, an essential tool because it provides effective assistance both at diagnosis therapeutic follow-up. Computer Assisted Diagnostic systems (CAD) is one of the possible solutions to efficiently manage these images. In our work, we proposed an application to detect Alzheimer's diseases. For detecting the disease in early stage we used the three sections: frontal to extract the Hippocampus (H), Sagittal to analysis the Corpus Callosum (CC) and axial to work with the variation features of the Cortex(C). Our method of classification is based on Support Vector Machine (SVM). The proposed system yields a 90.66% accuracy in the early diagnosis of the AD.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128606620","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

Face Recognition Using a Fuzzy Approach and a Multi-agent System from Video Sequences 基于模糊方法和多智能体系统的视频序列人脸识别

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.91

H. Hatimi, M. Fakir, M. Chabi

引用次数: 2

A Combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation 基于模糊分类和上下文区域增长的图像分割方法

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.41

Mahaman Sani Chaibou, Karim Kalti, Soulaiman Bassel, M. Mahjoub

{"title":"A Combined Approach Based on Fuzzy Classification and Contextual Region Growing to Image Segmentation","authors":"Mahaman Sani Chaibou, Karim Kalti, Soulaiman Bassel, M. Mahjoub","doi":"10.1109/CGIV.2016.41","DOIUrl":"https://doi.org/10.1109/CGIV.2016.41","url":null,"abstract":"We present in this paper an image segmentation approach that combines a fuzzy semantic region classification and a context based region-growing. Input image is first over-segmented. Then, prior domain knowledge is used to perform a fuzzy classification of these regions to provide a fuzzy semantic labeling. This allows the proposed approach to operate at high level instead of using low-level features and consequently to remedy to the problem of the semantic gap. Each oversegmented region is represented by a vector giving its corresponding membership degrees to the different thematic labels and the whole image is therefore represented by a Regions Partition Matrix. The segmentation is achieved on this matrix instead of the image pixels through two main phases: focusing and propagation. The focusing aims at selecting seeds regions from which information propagation will be performed. The propagation phase allows to spread toward others regions and using fuzzy contextual information the needed knowledge ensuring the semantic segmentation. An application of the proposed approach on mammograms shows promising results.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124380271","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

Image Analysis Using Disc-Harmonic Moments and Their RST Invariants in Pattern Recognition 基于盘谐矩及其RST不变量的图像分析

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.37

Driss Moujahid, O. Elharrouss, H. Tairi

引用次数: 2

A Comparative Study of Handwritten Mathematical Symbols Recognition 手写体数学符号识别的比较研究

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.92

Yassine Chajri, Abdelkrim Maarir, B. Bouikhalene

引用次数: 7

Database of Handwritten Arabic Mathematical Formula Images 手写阿拉伯数学公式图像数据库

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.36

Ibtissem Hadj Ali, M. Mahjoub

引用次数: 4

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.53

Hanen Jabnoun, F. Morain-Nicolier, Faouzi Bensarti, H. Amiri

引用次数: 1