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

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Evolutionary Algorithm for Segmentation of Medical Images by Region Rrowing 基于区域生长的医学图像分割进化算法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.32
Ahmad El Allaouil, M. Nasri, M. Merzougui, J. Mirhisse
{"title":"Evolutionary Algorithm for Segmentation of Medical Images by Region Rrowing","authors":"Ahmad El Allaouil, M. Nasri, M. Merzougui, J. Mirhisse","doi":"10.1109/CGIV.2016.32","DOIUrl":"https://doi.org/10.1109/CGIV.2016.32","url":null,"abstract":"Image segmentation by region growing method is robust fast and very easy to implemented, but it suffers from: the threshold problem, initialization, and sensitivity to noise. Evolutionary algorithms are particular methods for optimizing functions, they have a great ability to find the global optimum of a problem. In this paper, we used evolutionary algorithms to get over the three problems. We have proposed a segmentation method based on region growing and evolutionary algorithms. The proposed approach is validated on four hundred synthetic images and medical. The results show the good performance of this approach.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"388 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":"133511447","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
Pretreatment Approaches for Texture Image Segmentation 纹理图像分割的预处理方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.50
K. Salhi, E. Jaâra, M. Alaoui
{"title":"Pretreatment Approaches for Texture Image Segmentation","authors":"K. Salhi, E. Jaâra, M. Alaoui","doi":"10.1109/CGIV.2016.50","DOIUrl":"https://doi.org/10.1109/CGIV.2016.50","url":null,"abstract":"In this paper, we present two approaches of the image texture pretreatment. The reason behind it is to reduce the number of the grey level in the image, by assigning to each pixel a value that characterizes the local information of the neighborhood of this same pixel. This coding process will allow us to reduce the size of the co-occurrence matrix and also minimize the extraction time of Haralick features. We compare these pretreatment approaches by applying them on our unsupervised segmentation method of the image texture, which is based on both Kohonen maps and mathematical morphology. Our comparative study covers the results obtained by each pretreatment approach taking into consideration the execution time and the error rate.","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":"129289889","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
Satellite Image Restoration by Applying the Genetic Approach to the Wiener Deconvolution 应用遗传方法进行维纳反卷积的卫星图像恢复
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.20
Fouad Aouinti, M. Nasri, Mimoun Moussaoui, S. Benchaou, Khalid Zinedine
{"title":"Satellite Image Restoration by Applying the Genetic Approach to the Wiener Deconvolution","authors":"Fouad Aouinti, M. Nasri, Mimoun Moussaoui, S. Benchaou, Khalid Zinedine","doi":"10.1109/CGIV.2016.20","DOIUrl":"https://doi.org/10.1109/CGIV.2016.20","url":null,"abstract":"In the process of satellite imaging, the observed image is blurred by optical system and atmospheric effects and corrupted by additive noise. The image restoration method known as Wiener deconvolution intervenes to estimate from the degraded image an image as close as possible to the original image. The effectiveness of this method obviously depends on the regularization term which requires a priori knowledge of the power spectral density of the original image that is rarely, if ever, accessible, hence the estimation of approximate values can affect the restored image quality. In this paper, the idea consists of applying the genetic approach to the Wiener deconvolution for satellite image restoration through the optimization of this regularization term in order to achieve the best possible result.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"36 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":"116369346","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
Sift Descriptors Modeling and Application in Texture Image Classification Sift描述子建模及其在纹理图像分类中的应用
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.58
Oussama Zeglazi, A. Amine, M. Rziza
{"title":"Sift Descriptors Modeling and Application in Texture Image Classification","authors":"Oussama Zeglazi, A. Amine, M. Rziza","doi":"10.1109/CGIV.2016.58","DOIUrl":"https://doi.org/10.1109/CGIV.2016.58","url":null,"abstract":"This paper presents a new statistical model for describing real textured images. Our model is based on the observation that the Scale-Invariant Feature Transform (SIFT) descriptors extracted from a given image can be properly modeled by the Gamma distribution. The maximum-likelihood algorithm was used to estimate the two parameters of the Gamma distribution. The efficiency of the proposed approach was validated in the classification stage. Experiments were conducted on Brodatz database. Results demonstrated that our model leads to good improvement in term of the accuracy rate.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"431 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":"116184670","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: 14
Offline Chinese Handwriting Character Recognition through Feature Extraction 基于特征提取的离线中文手写字符识别
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.83
Yucheng Luo, Rui Xia, M. Abdulghafour
{"title":"Offline Chinese Handwriting Character Recognition through Feature Extraction","authors":"Yucheng Luo, Rui Xia, M. Abdulghafour","doi":"10.1109/CGIV.2016.83","DOIUrl":"https://doi.org/10.1109/CGIV.2016.83","url":null,"abstract":"In this paper, new methods were developed to successfully identify Chinese handwriting characters. These methods are based on features extraction as compared and matched with HCL2000 database [1]. Several algorithms were applied for binarization, smoothing, noise reduction and thinning to an image of a single Chinese character. Then the image is given to a structural feature extracting algorithm, which transforms that character into an undirected graph with unique coordinates of all nodes. The resulting graph was compared with 3755 samples from the database one by one, whose features are also extracted and stored in a graph. The total deviation between two characters was obtained by comparing edges from the generated undirected graph representing a character and its counterpart graph which is generated from the image in HCL 2000 database. Based on the measurements of lengths, orientation, and areas between lines, the best match was selected as the result of recognition. Additional principles are also included in order to assure the accuracy. During the matching, the graph may sometimes be slightly transformed or modified to maximize the fitness criteria. Experimental results are accomplished by the use of 1000 random characters to test the effectiveness. The accuracy of the recognition system is significant. Analysis and experimental results are presented.","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":"125001119","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
Finite Element Simulation of 2.5/3D Shaped and Rigid Electronic Circuits 2.5/3D异形和刚性电子电路的有限元仿真
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.14
Imen Chtioui, Frederick Bossyut, M. H. Bedoui
{"title":"Finite Element Simulation of 2.5/3D Shaped and Rigid Electronic Circuits","authors":"Imen Chtioui, Frederick Bossyut, M. H. Bedoui","doi":"10.1109/CGIV.2016.14","DOIUrl":"https://doi.org/10.1109/CGIV.2016.14","url":null,"abstract":"Today a need is emerging for embedding electronic and sensor functions in the products which needs these functions, and, importantly, to do this without noticeably influencing the mechanical design of the product. This contribution describes an approach used to produce a 2.5/3D free-form rigid and smart objects or randomly shaped circuit. The proposed fabrication process of shaped circuit is compatible with a typical printed circuit manufacturing and electronics assembly. Once the circuit is completed in its flat shape, its random final functional shape is given using thermoforming. In order to be able to deform a given flat circuit to its final form with predictable final spatial positions of components and interconnections. A FEM simulation is conducted to model the thermoforming of polymer based electronic circuits. As one of the process outputs, the wall thickness distribution predicted for the final part is compared with the experimental results.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"53 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":"128546106","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: 3
Ontology-Based Approach for Online Arabic Character Recognition 基于本体的在线阿拉伯字符识别方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.46
Houda Nakkach, Soumaya Hichri, Sofiene Haboubi, H. Amiri
{"title":"Ontology-Based Approach for Online Arabic Character Recognition","authors":"Houda Nakkach, Soumaya Hichri, Sofiene Haboubi, H. Amiri","doi":"10.1109/CGIV.2016.46","DOIUrl":"https://doi.org/10.1109/CGIV.2016.46","url":null,"abstract":"The pattern recognition domain, particularly the online Arabic character recognition is a rich area of research. This paper puts forward a new approach for character recognition using domain ontology. Our main idea is based on the modeling of Arabic character by construction of ontology created by a domain expert. This ontology consists of a set of concepts and spatial relations between them. The concepts represent the strokes extracted by segmenting the character introduced. The aim of this work is to study the role of domain ontologies and their contributions in the recognition phase.","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":"128736805","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 Novel Approach for Semi-regular Mesh Based on Planar Proxies 一种基于平面代理的半规则网格新方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.13
Mejda Chihaoui, Akram Elkefi, W. Bellil, C. Ben Amar
{"title":"A Novel Approach for Semi-regular Mesh Based on Planar Proxies","authors":"Mejda Chihaoui, Akram Elkefi, W. Bellil, C. Ben Amar","doi":"10.1109/CGIV.2016.13","DOIUrl":"https://doi.org/10.1109/CGIV.2016.13","url":null,"abstract":"Surface meshes have recently attracted great interest since they are frequently used in many computer graphics applications. These meshes are often generated by isosurfacing representations or also by scanning devices. Unfortunately, such meshes are dense and they contain many redundant vertices and irregular sampling. This make meshes unable to support multiple applications as storage, display, compression or transmission. To solve these problems and reduce the complexity, the mesh quality (connectivity regularity) must be improved. This improvement is called remeshing. On the other hand, many researches techniques have been done to exploit a mesh' local planarity to optimize its geometric representation. This paper presents a novel multiresolution approach of remeshing based on planar proxies.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"17 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":"116990785","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
Deterministic Method of Visual Servoing: Robust Object Tracking by Drone 视觉伺服的确定性方法:无人机鲁棒目标跟踪
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.87
Ouchatti Zakaria, Bensaid Alaa, M. Fouad, Medromi Hicham
{"title":"Deterministic Method of Visual Servoing: Robust Object Tracking by Drone","authors":"Ouchatti Zakaria, Bensaid Alaa, M. Fouad, Medromi Hicham","doi":"10.1109/CGIV.2016.87","DOIUrl":"https://doi.org/10.1109/CGIV.2016.87","url":null,"abstract":"This work is part of an application context, focused on the analysis of images flow acquired by a camera embedded in a drone, controlled by a control station. Specifically, we are interested in the coupling vision-command, in order to develop a control system that allows an autonomous navigation and operation of the Unmanned Aerial Vehicle in complex environments where the use of visual sensors appears to be essential for moving the drone in a controlled manner but also to be capable of increasing the stability of the UAV. We propose the state of the art in image-based visual servoing, focused on the control of unmanned aerial vehicles and allows moving from a current position to a desired position according the observed scene while also improving the flight performance (stability and accuracy). Our contribution will be in the proposal of a control approach capable to tracking an object by introducing the concept of real-time and subsequently uses a visual memory in the form of keyframes to automatically reproduce a route already made.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"9 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":"121828933","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: 3
Hybrid Approach to Features Extraction for Online Arabic Character Recognition 面向在线阿拉伯字符识别的混合特征提取方法
2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-03-01 DOI: 10.1109/CGIV.2016.56
Houda Nakkach, Soumaya Hichri, Sofiene Haboubi, H. Amiri
{"title":"Hybrid Approach to Features Extraction for Online Arabic Character Recognition","authors":"Houda Nakkach, Soumaya Hichri, Sofiene Haboubi, H. Amiri","doi":"10.1109/CGIV.2016.56","DOIUrl":"https://doi.org/10.1109/CGIV.2016.56","url":null,"abstract":"Recognition of Arabic Character field has been gaining more interest for many years, and a large number of research papers and reports have already been published in this area. There are several major issues with Arabic character recognition: Arabic characters are spelled differently (depending on whether they are isolated, at the beginning, in the middle or at the end of the word), multiple characters can have the same body but a number and/or position of various diacritics. The size of the Arabic characters may vary from one writer to another and even within the writing of a single writer, etc. This paper presents a new approach for feature extraction step of online handwritten Arabic character using global and local features. The system was tested with 2000 Characters written by different writers and the best rate of recognition obtained was 92.43%.","PeriodicalId":351561,"journal":{"name":"2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)","volume":"38 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":"114803732","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
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