2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)最新文献_第7页

Markov random fields for pattern extraction in analog wafer test data 模拟晶圆测试数据模式提取的马尔可夫随机场

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310124

Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern

引用次数: 6

A novel algorithm for optimal matching of elastic shapes with landmark constraints 一种具有地标约束的弹性形状最优匹配算法

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310079

Justin Strait, S. Kurtek

{"title":"A novel algorithm for optimal matching of elastic shapes with landmark constraints","authors":"Justin Strait, S. Kurtek","doi":"10.1109/IPTA.2017.8310079","DOIUrl":"https://doi.org/10.1109/IPTA.2017.8310079","url":null,"abstract":"An important problem in statistical shape analysis is the matching of geometric features across shapes, known as registration. In short, given two objects, one wants to know the correspondence of points on one shape to points on another. Such a matching problem, with various levels of complexity, is present regardless of the shape's mathematical representation. A recent framework for shape analysis of n-dimensional curves combines an infinite-dimensional functional curve representation with landmark information encoding important curve features. In this setting, shape matching is performed by minimizing an objective function with constraints, which respect landmark correspondences. Currently, the minimizer in this approach is found using piecewise dynamic programming; this does not respect the smoothness requirement of the matching function. Thus, the solution is not really a member of the group of registration functions. In this work, we present a landmark-constrained gradient descent algorithm, which searches for a smooth matching function and respects landmark locations. We compare the proposed method to the previously used approach using examples from the MPEG-7 dataset.","PeriodicalId":316356,"journal":{"name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130262856","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

Handwriting gender recognition system based on the one-class support vector machines 基于一类支持向量机的手写性别识别系统

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310136

Y. Guerbai, Y. Chibani, Bilal Hadjadji

引用次数: 6

Pixelwise classification for music document analysis 用于音乐文档分析的像素分类

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310134

Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga

{"title":"Pixelwise classification for music document analysis","authors":"Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga","doi":"10.1109/IPTA.2017.8310134","DOIUrl":"https://doi.org/10.1109/IPTA.2017.8310134","url":null,"abstract":"Content within musical documents not only contains music symbol but also include different elements such as staff lines, text, or frontispieces. Before attempting to automatically recognize components in these layers, it is necessary to perform an analysis of the musical documents in order to detect and classify each of these constituent parts. The obstacle for this analysis is the high heterogeneity amongst music collections, especially with ancient documents, which makes it difficult to devise methods that can be generalizable to a broader range of sources. In this paper we propose a data-driven document analysis framework based on machine learning that focuses on classifying regions of interest at pixel level. For that, we make use of Convolutional Neural Networks trained to infer the category of each pixel. The main advantage of this approach is that it can be applied regardless of the type of document provided, as long as training data is available. Since this work represents first efforts in that direction, our experimentation focuses on reporting a baseline classification using our framework. The experiments show promising performance, achieving an accuracy around 90% in two corpora of old music documents.","PeriodicalId":316356,"journal":{"name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589680","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

Image cryptography based on the imitation of gene fusion and horizontal gene transfer 基于模仿基因融合和水平基因转移的图像密码

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310153

Z. Hamici

{"title":"Image cryptography based on the imitation of gene fusion and horizontal gene transfer","authors":"Z. Hamici","doi":"10.1109/IPTA.2017.8310153","DOIUrl":"https://doi.org/10.1109/IPTA.2017.8310153","url":null,"abstract":"In this paper a novel signal processing algorithm for secure image communication is proposed. It is a genetic algorithm that combines both gene fusion and Horizontal Gene Transfer (HGT) inspired from the spread of antibiotic resistance in bacteria. The symmetric encryption key playing the role of a pathogen is generated by controlled multi-layer random sequences. The principal key is then absorbed by the organism genome represented by the image. The process of encryption starts by a full uptake of the key-agent or pathogen which has the size of the whole image; the image and the principal key are merged together in a gene fusion process. A second phase of encryption is an obfuscation process produced by an HGT where the genes are pixels and the chromosomes are the rows and columns of the image. The obfuscation process as a second layer of encryption is realized by two sub-keys from which the principal key matrix is constructed. The whole process is repeated recursively L rounds. A Salt extracted from the image hash-value is used against chosen-plaintext cryptanalysis, therefore, even a modification of one pixel will generate different encryption keys adding a stealthy-key feature to the cipher. The key generation process with the two layers of encryption of the genetic algorithm are fully described. Results of the signal processing algorithm based on gene fusion and HGT show a great promise in genetic inspired data security.","PeriodicalId":316356,"journal":{"name":"2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125950426","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

Effective Waterline detection for unmanned surface vehicles in inland water 内陆水域无人水面航行器的有效水线检测

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310127

Wenqiang Zhan, Changshi Xiao, Haiwen Yuan, Y. Wen

引用次数: 9

Real-time recognition of suicidal behavior using an RGB-D camera 用RGB-D摄像头实时识别自杀行为

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310087

Bo Li, W. Bouachir, Rafik Gouiaa, R. Noumeir

引用次数: 3

JPEG compression model in copy-move forgery detection 复制-移动伪造检测中的JPEG压缩模型

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310139

Adam Novozámský, M. Šorel

引用次数: 2

A deep learning approach for detecting and correcting highlights in endoscopic images 一种用于检测和纠正内窥镜图像高光的深度学习方法

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310082

A. Rodríguez-Sánchez, D. Chea, G. Azzopardi, Sebastian Stabinger

引用次数: 13

A computer vision method for respiratory monitoring in intensive care environment using RGB-D cameras 采用RGB-D摄像机进行重症监护环境呼吸监测的计算机视觉方法

2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2017-11-01 DOI: 10.1109/IPTA.2017.8310155

H. Rehouma, R. Noumeir, P. Jouvet, W. Bouachir, S. Essouri

引用次数: 9