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Efficient Object Indexing and Retrieval Using Partial Dominant Orientation Descriptor 基于部分优势方向描述符的高效对象索引与检索
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.62
Abdessamad Elboushaki, Rachida Hannane, K. Afdel, L. Koutti
{"title":"Efficient Object Indexing and Retrieval Using Partial Dominant Orientation Descriptor","authors":"Abdessamad Elboushaki, Rachida Hannane, K. Afdel, L. Koutti","doi":"10.1109/CGIV.2016.62","DOIUrl":"https://doi.org/10.1109/CGIV.2016.62","url":null,"abstract":"This paper describes a method for object indexing and retrieval using a new feature descriptor called Partial Dominant Orientation Descriptor (PDOD). The extraction process of the PDOD starts by sampling the object into a set of stable and informative key locations using Difference of Gaussian (DoG), so that the retrieval can proceed successfully despite changes in object viewpoint, scale, illumination, and distortion. The proposed descriptor at feature point takes into account the position and partially computes the dominant orientations of other key locations relative to this point, thus, offering a global distinctive and discriminative characterization. The extracted object descriptors are then indexed using Vocabulary Tree, which provides a robust object retrieval system across a substantial range of rotation variance, change in textures and colors, and object deformation. The extensive experiments on KONKLAB public dataset demonstrate that our method outperforms other benchmarks such as SIFT, PCA-SIFT and SURF indexing algorithms.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"48 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":"128825579","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: 1
Roads Detection from Satellite Images Based on Active Contour Model and Distance Transform 基于主动轮廓模型和距离变换的卫星图像道路检测
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.27
Abdelkrim Maarir, B. Bouikhalene
{"title":"Roads Detection from Satellite Images Based on Active Contour Model and Distance Transform","authors":"Abdelkrim Maarir, B. Bouikhalene","doi":"10.1109/CGIV.2016.27","DOIUrl":"https://doi.org/10.1109/CGIV.2016.27","url":null,"abstract":"Automatic man-made objects detection from aerial and satellite images be a very important research field to understand the changes in our environment and gives an important source of information to be used in many fields. This study describes and evaluates an automated method for roads detection using a region-based active contour model and distance transform. The first step is pre-processing of images to reduce noses and increase the contrast between contours and to improve the quality of the initial image by using the median filtering, the second step deals with using an active contour with a region-based signed pressure force (SPF) function that is adapted with the given images and in the last step centerlines of road are extracted with Euclidian distance transformation. The proposed method is tested on several images with high resolution and experiments results show that can detect both urban and suburban roads.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"5 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":"114231666","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
Automatic Detection of Blood Vessel in Retinal Images 视网膜图像中血管的自动检测
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.4018/IJHISI.2017010102
A. Elbalaoui, M. Fakir, K. Taifi, A. Merbouha
{"title":"Automatic Detection of Blood Vessel in Retinal Images","authors":"A. Elbalaoui, M. Fakir, K. Taifi, A. Merbouha","doi":"10.4018/IJHISI.2017010102","DOIUrl":"https://doi.org/10.4018/IJHISI.2017010102","url":null,"abstract":"Automatic detection of retinal blood vessels and measurement of vessel diameter are very much important for the diagnosis and the treatment of different ocular diseases including diabetic retinopathy (DR), glaucoma and hypertension. In this paper, we present a novel method to detect blood vessels in the fundus retinal images. The proposed method consists of three main steps. The first step is pre-processing of retinal image to improve the retinal images by evaluation of several image enhancement techniques. In the second step, the vesselness filter is usually used to enhance the blood vessels. Finally Hessian multiscale enhancement filter is designed from the adaptive thresholding of the output of the vesselness filter for vessels detection. The performance of algorithms is compared and analyzed on three publicly available databases (DRIVE, STARE and CHASE_DB) of retinal images using a number of measures, which include accuracy, sensitivity, and specificity.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"410 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":"115953513","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: 33
Buildings Change Detection on Quickbird Imagery 基于Quickbird图像的建筑物变化检测
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.77
R. Cheriguene, H. Mahi
{"title":"Buildings Change Detection on Quickbird Imagery","authors":"R. Cheriguene, H. Mahi","doi":"10.1109/CGIV.2016.77","DOIUrl":"https://doi.org/10.1109/CGIV.2016.77","url":null,"abstract":"Very High Spatial Resolution images (VHRS) is a powerful tool for quick mapping, especially in the detection of change occurring after a natural disaster. In this context, the aim of this paper is to propose a methodology for detection of damaged buildings after an earthquake based on object-oriented analysis applied to a pair of Quickbird images. The experimental results show that the detection rate was approximately 0.9, for existing buildings before earthquake and approximately 0.66 for damaged buildings. These rates are obtained by using the correctness parameters as quality measure and consequently it indicate the effectiveness of the proposed methodology.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"6 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120990483","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: 1
Recognition of 3D Objects Using Heat Diffusion Equations and Random Forests 基于热扩散方程和随机森林的三维物体识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.39
Driss Naji, M. Fakir, B. Bouikhalene, R. Elayachi
{"title":"Recognition of 3D Objects Using Heat Diffusion Equations and Random Forests","authors":"Driss Naji, M. Fakir, B. Bouikhalene, R. Elayachi","doi":"10.1109/CGIV.2016.39","DOIUrl":"https://doi.org/10.1109/CGIV.2016.39","url":null,"abstract":"In this paper, we present an approach to recognize 3D objects. The method is based on the heat equation by calculating the geodesic distance between any pair of points x, y on Riemannian manifold. The method is compared to the light field descriptor (LFD) and the salient views (SV) by using three classifier such as C4.5 decision tree and Random Forest. The proposed method is a set of classifier that makes the decision, referring to the votes. We evaluate the performance of the proposed approach on a very challenging task of recognizing different objects types using two databases.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"104 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":"122526976","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: 1
Efficient Video Summarization Based on Motion SIFT-Distribution Histogram 基于运动sift分布直方图的高效视频摘要
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.67
Rachida Hannane, Abdessamad Elboushaki, K. Afdel
{"title":"Efficient Video Summarization Based on Motion SIFT-Distribution Histogram","authors":"Rachida Hannane, Abdessamad Elboushaki, K. Afdel","doi":"10.1109/CGIV.2016.67","DOIUrl":"https://doi.org/10.1109/CGIV.2016.67","url":null,"abstract":"Video summarization refers to the process of recapitulating video stream by producing an abstract of the salient keyframes that could cover its overall content. However, an efficient video summarization requires an efficient video Shot Boundary Detection (SBD) and keyframes extraction. In this backdrop, this paper presents a novel and efficient approach for video SBD and keyframes extraction that will lead in the summarizing video. Meanly, Motion SIFT-Distribution Histogram (MoSIFT-DH) is extracted from the frames as a Glocal feature. The shot boundaries are detected using an adaptive threshold for the computed distance of MoSIFT-DH of the consecutive frames. Furthermore, keyframe representing the salient content of each segmented shot is extracted using entropy based singular values. Finally, the summarizing video is generated, by combining all the extracted keyframes. Our experiments on various videos indicate that our method can efficiently detect shot boundaries under different levels of illumination, camera operations and motion effects.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"29 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":"128809535","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: 9
Detection and Tracking of the Moving Objects in a Video Sequence by Geodesic Active Contour 基于测地线活动轮廓的视频序列运动目标检测与跟踪
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.48
Mejda Chihaoui, Akram Elkefi, W. Bellil, C. Ben Amar
{"title":"Detection and Tracking of the Moving Objects in a Video Sequence by Geodesic Active Contour","authors":"Mejda Chihaoui, Akram Elkefi, W. Bellil, C. Ben Amar","doi":"10.1109/CGIV.2016.48","DOIUrl":"https://doi.org/10.1109/CGIV.2016.48","url":null,"abstract":"Detection of objects motion in image sequences is one of the most discussed research subjects in the artificial vision. In this paper, we propose a new approach for the detection and tracking of one or more objects in video sequences. Our proposed approach is based on geodesic active contour. In fact, the methods used in this domain generally rely on the detection by the geometric shapes that still have the isolated pixels constraints, i.e. they present a difficulty of extracting only the moving object and they do not generally allow detecting each object separately. For this, our approach reduces these constraints by initially dividing the video into a succession of images. The active contour is, then, applied to each image till the end of the sequence. Finally, we reconstruct these new video images containing moving objects detected by the geodesic active contour.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"123 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":"116937024","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: 2
A Spatial Resolution and Vacuum Channeling Phenomenon of the Neutron Transmission through Protection Screen 中子通过保护屏传输的空间分辨率和真空通道现象
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.96
A. Khanouchi, M. Fakir, M. Sabri, A. Jehouani
{"title":"A Spatial Resolution and Vacuum Channeling Phenomenon of the Neutron Transmission through Protection Screen","authors":"A. Khanouchi, M. Fakir, M. Sabri, A. Jehouani","doi":"10.1109/CGIV.2016.96","DOIUrl":"https://doi.org/10.1109/CGIV.2016.96","url":null,"abstract":"Frequently, shields used for protection against radiation contain some vacuum channels for passing cables and instruments for measurements. The neutron transmission through these shields is an unavoidable phenomenon, so we have interested in this work to study and discuss the effect of vacuum channels on neutron transmission through shields [1]. We have considered aninfinite homogenous slab, with a fixed thickness, which contains a vacuum channels, and an infinite plane source of neutrons which arrived on the left side of the slab and on the right side many detectors with fixed windows are placed to detect transmitted neutrons and evaluate the neutron transmission probabilities[2]. We used the simulation Monte Carlo method for sampling the neutron history in the slab [3;4] with a spatial biasing technique in order to accelerate the calculation convergence[5;6].Then different geometries of the vacuum channel have been studied. For each geometry and for several values of the channel opening we have determined the detector response and calculated the neutron transmission probability for different detector positions. This probability presents a peak for the detector placed in front of the vacuum channel. This study allowed us to clearly identify the neutron channeling phenomenon and to determine the optimal conditions of vacuum geometries to improve protection against neutron. In particular in the second part we considered a vacuum channel with two horizontal parts [7;8]. The spatial distribution of neutrons transmitted through the protection screen was determined and shows two peaks.This study allowed us to determine the smallest distance between the two horizontal parts for which the two peak scan be resolved. One application of our study is to detect vacuum defects in materials.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"72 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":"132718674","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: 0
Hierarchical Location-Based Services for Wireless Sensor Networks 无线传感器网络分层定位服务
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.97
R. Khadim, M. Erritali, A. Maaden
{"title":"Hierarchical Location-Based Services for Wireless Sensor Networks","authors":"R. Khadim, M. Erritali, A. Maaden","doi":"10.1109/CGIV.2016.97","DOIUrl":"https://doi.org/10.1109/CGIV.2016.97","url":null,"abstract":"Nowadays Wireless Sensor Networks have attracted worldwide research and industrial interest, because they can be applied in various areas. Geographic routing protocols are very suitable to wireless sensor networks because they use location information when they need to route packets. Obviously, location information is maintained by Location-Based Services provided by network nodes in a distributed way. The location based services can be classified into two classes: Flooding-Based and Rendezvous-based location services.In this paper we choose to compare two hierarchical rendezvous location based-services, GLS (Grid Location Service) and HLS (Hierarchical Location Service) coupled to the GPSR routing protocol (Greedy Perimeter Stateless Routing).The simulations were performed using NS2 simulator for wireless sensor networks to evaluate the performance and power of the two services in term of location overhead, the request travel time (RTT) and the query Success ratio (QSR).This work presents also the scalability performance study of both GLS and HLS, specifically, what happens if the number of nodes N increases. The study will focus on three qualitative metrics: The location maintenance cost,the location query cost and the storage cost.","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":"128926753","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: 6
Spectral Graph Matching for Printed Tifinagh Character 印刷体字符的谱图匹配
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.29
Y. Ouadid, B. Minaoui, M. Fakir
{"title":"Spectral Graph Matching for Printed Tifinagh Character","authors":"Y. Ouadid, B. Minaoui, M. Fakir","doi":"10.1109/CGIV.2016.29","DOIUrl":"https://doi.org/10.1109/CGIV.2016.29","url":null,"abstract":"Optical Character Recognition is one of the most important tools that contributes to facilitate man-machine interaction. In this paper, we present an optical Tifinagh character recognition system based on graph theory. After preprocessing, interest points are extracted using Harris corner detector. Based on these points, we constructed the graph model representation of Tifinagh characters. Classification is done by calculating the spectral properties of adjacency matrix that represent the degree of agreement between graphs. The system shows satisfying performance and robustness against noise and deformation. The proposed system is evaluated using IRCAM database (Royal Institute of Amazigh Culture) and recognition rate of 99.02% was obtained.","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":"128355203","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
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