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Signal and image processing : an international journal最新文献

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Modified Approach to Transform Arc From Text to Linear Form Text : A Preprocessing Stage for OCR 一种将文本圆弧转换为线性文本的改进方法:OCR的预处理阶段
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5407
S. VijayashreeC, C. Shruthi
{"title":"Modified Approach to Transform Arc From Text to Linear Form Text : A Preprocessing Stage for OCR","authors":"S. VijayashreeC, C. Shruthi","doi":"10.5121/SIPIJ.2014.5407","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5407","url":null,"abstract":"","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"38 1","pages":"67-75"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82091901","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
Feature Selection Approach in Animal Classification 动物分类中的特征选择方法
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5406
H. SharathKumarY, D. DivyaC
{"title":"Feature Selection Approach in Animal Classification","authors":"H. SharathKumarY, D. DivyaC","doi":"10.5121/SIPIJ.2014.5406","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5406","url":null,"abstract":"In this paper, we propose a model for automatic classification of Animals using different classifiers Nearest Neighbour, Probabilistic Neural Network and Symbolic. Animal images are segmented using maximal region merging segmentation. The Gabor features are extracted from segmented animal images. Discriminative texture features are then selected using the different feature selection algorithm like Sequential Forward Selection, Sequential Floating Forward Selection, Sequential Backward Selection and Sequential Floating Backward Selection. To corroborate the efficacy of the proposed method, an experiment was conducted on our own data set of 25 classes of animals, containing 2500 samples. The data set has different animal species with similar appearance (small inter-class variations) across different classes and varying appearance (large intra-class variations) within a class. In addition, the images of flowers are of different poses, with cluttered background under different lighting and climatic conditions. Experiment results reveal that Symbolic classifier outperforms Nearest Neighbour and Probabilistic Neural Network classifiers.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"29 1","pages":"55-66"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80530804","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
Symbolic representation and recognition of gait : an approach based on LBP of split gait energy images 步态的符号表示与识别:一种基于LBP的步态能量图像分割方法
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5402
H. Kumar, H. S. Nagendraswamy
{"title":"Symbolic representation and recognition of gait : an approach based on LBP of split gait energy images","authors":"H. Kumar, H. S. Nagendraswamy","doi":"10.5121/SIPIJ.2014.5402","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5402","url":null,"abstract":"Gait is one of the biometric techniques used to identify an individual from a distance by his/her walking \u0000style. Gait can be recognized by studying the static and dynamic part variations of individual body contour \u0000during walk. In this paper, an interval value based representation and recognition of gait using local \u0000binary pattern (LBP) of split gait energy images is proposed. The gait energy image (GEI) of a subject is \u0000split into four equal regions. LBP technique is applied to each region to extract features and the extracted \u0000features are well organized. The proposed representation technique is capable of capturing variations in \u0000gait due to change in cloth, carrying a bag and different instances of normal walking conditions more \u0000effectively. Experiments are conducted on the standard and considerably large database (CASIA database \u0000B) and newly created University of Mysore (UOM) gait dataset to study the efficacy of the proposed gait \u0000recognition system. The proposed system being robust to handle variations has shown significant \u0000improvement in recognition rate.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"73 1","pages":"15-28"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76860545","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: 7
A New Hybrid Method for the Segmentation of the Brain MRIS 脑核磁共振成像分割的一种新的混合方法
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5408
Mohamed Zaki Abderrezak, Mouatez billah Chibane, K. Mansour
{"title":"A New Hybrid Method for the Segmentation of the Brain MRIS","authors":"Mohamed Zaki Abderrezak, Mouatez billah Chibane, K. Mansour","doi":"10.5121/SIPIJ.2014.5408","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5408","url":null,"abstract":"The magnetic resonance imaging is a method which has undeniable qualities of contrast and tissue characterization, presenting an interest in the follow-up of various pathologies such as the multiple sclerosis. In this work, a new method of hybrid segmentation is presented and applied to Brain MRIs. The extraction of the image of the brain is pretreated with the Non Local Means filter. A theoretical approach is proposed; finally the last section is organized around an experimental part allowing the study of the behavior of our model on textured images. In the aim to validate our model, different segmentations were down on pathological Brain MRI, the obtained results have been compared to the results obtained by another models. This results show the effectiveness and the robustness of the suggested approach.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"53 1","pages":"77-84"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73327518","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
Detection of Fabrication in Photocopy Document Using Texture Features Through K-Means Clustering 基于k -均值聚类的纹理特征在影印文档中的伪造检测
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5403
Suman V. Patgar, Sharath Kumar, A. Vasudev
{"title":"Detection of Fabrication in Photocopy Document Using Texture Features Through K-Means Clustering","authors":"Suman V. Patgar, Sharath Kumar, A. Vasudev","doi":"10.5121/SIPIJ.2014.5403","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5403","url":null,"abstract":"Photocopy documents are very common in our normal life. People are permitted to carry and produce photocopied documents frequently, to avoid damages or losing the original documents. But this provision is misused for temporary benefits by fabricating fake photocopied documents. When a photocopied document is produced, it may be required to check for its originality. An attempt is made in this direction to detect such fabricated photocopied documents. This paper proposes an unsupervised system to detect fabrication in photocopied document using texture features. The work in this paper mainly focuses on detection of fabrication in photocopied documents in which some contents are manipulated by new contents above it through different ways. A detailed experimental study has been performed using a collected sample set of considerable size and a decision model is developed for classification. Testing is performed with a different set of collected testing samples resulted in an average detection rate of 89%.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"40 1","pages":"29-36"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87112614","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 Voting Based Approach to Detect Recursive Order Number of Photocopy Documents Using Probability Distributions 基于投票的基于概率分布的影印文档递归阶数检测方法
Signal and image processing : an international journal Pub Date : 2014-08-31 DOI: 10.5121/SIPIJ.2014.5404
Suman V. Patgar, K. Rani, T. Vasudev
{"title":"A Voting Based Approach to Detect Recursive Order Number of Photocopy Documents Using Probability Distributions","authors":"Suman V. Patgar, K. Rani, T. Vasudev","doi":"10.5121/SIPIJ.2014.5404","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5404","url":null,"abstract":"Photocopy documents are very common in our normal life. People are permitted to carry and present photocopied documents to avoid damages to the original documents. But this provision is misused for temporary benefits by fabricating fake photocopied documents. Fabrication of fake photocopied document is possible only in 2 nd and higher order recursive order of photocopies. Whenever a photocopied document is submitted, it may be required to check its originality. When the document is 1 st order photocopy, chances of fabrication may be ignored. On the other hand when the photocopy order is 2 nd or above, probability of fabrication may be suspected. Hence when a photocopy document is presented, the recursive order number of photocopy is to be estimated to ascertain the originality. This requirement demands to investigate methods to estimate order number of photocopy. In this work, a voting based approach is used to detect the recursive order number of the photocopy document using probability distributions exponential, extreme values and lognormal distributions is proposed. A detailed experimentation is performed on a generated data set and the method exhibits efficiency close to 89%.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"12 1","pages":"37-44"},"PeriodicalIF":0.0,"publicationDate":"2014-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81501526","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
Beamforming with Per-Antenna Power Constraint and Transmit Antenna Selection Using Convex Optimization Technique 基于单天线功率约束的波束形成与凸优化技术的发射天线选择
Signal and image processing : an international journal Pub Date : 2014-06-30 DOI: 10.5121/SIPIJ.2014.5306
Suban, A. Jenifer
{"title":"Beamforming with Per-Antenna Power Constraint and Transmit Antenna Selection Using Convex Optimization Technique","authors":"Suban, A. Jenifer","doi":"10.5121/SIPIJ.2014.5306","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5306","url":null,"abstract":"In this paper, transmit beamforming and antenna selection techniques are presented for the Cooperative Distributed Antenna System. The beamforming technique with minimum total weighted transmit power satisfying threshold SINR and Per-Antenna Power constraints using convex optimization is presented for the efficient performance of Distributed Antenna System (DAS). Antenna Selection technique is used to select the optimum antennas from all the available ones. This achieves the best compromise between capacity and system complexity. Simulation results prove that integrating Beamforming with DAS enhances the performance of DAS. Also antenna selection reduces the cost of RF front end","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"15 1","pages":"59-69"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78266886","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
An Intensity-Based Medical Image Registration Using Genetic Algorithm 基于遗传算法的医学图像配准
Signal and image processing : an international journal Pub Date : 2014-06-30 DOI: 10.5121/SIPIJ.2014.5305
S. Shanmugapriya, S. Poonguzhali, U. Maheshwari
{"title":"An Intensity-Based Medical Image Registration Using Genetic Algorithm","authors":"S. Shanmugapriya, S. Poonguzhali, U. Maheshwari","doi":"10.5121/SIPIJ.2014.5305","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5305","url":null,"abstract":"Medical imaging plays a vital role to create images of human body for clinical purposes. Biomedical imaging has taken a leap by entering into the field of image registration. Image registration integrates the large amount of medical information embedded in the images taken at different time intervals and images at different orientations. In this paper, an intensity-based real-coded genetic algorithm is used for registering two MRI images. To demonstrate the efficiency of the algorithm developed, the alignment of the image is altered and algorithm is tested for better performance. Also the work involves the comparison of two similarity metrics, and based on the outcome the best metric suited for genetic algorithm is studied.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"27 1","pages":"53-58"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75247492","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
Conditional Entrench Spatial Domain Steganography 条件壕沟空间域隐写
Signal and image processing : an international journal Pub Date : 2014-06-30 DOI: 10.5121/SIPIJ.2014.5303
N. Sathisha, N. MadhusudanG, K. Sureshbabu, B. RajaK, R. VenugopalK.
{"title":"Conditional Entrench Spatial Domain Steganography","authors":"N. Sathisha, N. MadhusudanG, K. Sureshbabu, B. RajaK, R. VenugopalK.","doi":"10.5121/SIPIJ.2014.5303","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5303","url":null,"abstract":"Steganography is a technique of concealing the secret information in a digital carrier media, so that only the authorized recipient can detect the presence of secret information. In this paper, we propose a spatial domain steganography method for embedding secret information on conditional basis using 1-Bit of Most Significant Bit (MSB). The cover image is decomposed into blocks of 8*8 matrix size. The first block of cover image is embedded with 8 bits of upper bound and lower bound values required for retrieving payload at the destination. The mean of median values and difference between consecutive pixels of each 8*8 block of cover image is determined to embed payload in 3 bits of Least Significant Bit (LSB) and 1 bit of MSB based on prefixed conditions. It is observed that the capacity and security is improved compared to the existing methods with reasonable PSNR.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"7 1","pages":"25-41"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84810292","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
Squeezing of Color Image Using Dual Tree Complex Wavelet Transform Based Preliminary Plan 基于双树复小波变换的彩色图像压缩初步方案
Signal and image processing : an international journal Pub Date : 2014-06-30 DOI: 10.5121/SIPIJ.2014.5304
Nitin Sharma, A. Agarwal, Pawan Kumar Khyalia
{"title":"Squeezing of Color Image Using Dual Tree Complex Wavelet Transform Based Preliminary Plan","authors":"Nitin Sharma, A. Agarwal, Pawan Kumar Khyalia","doi":"10.5121/SIPIJ.2014.5304","DOIUrl":"https://doi.org/10.5121/SIPIJ.2014.5304","url":null,"abstract":"In this paper, we scrutinize the role of dual tree complex wavelet transform. This Dual tree complex wavelet transform (DT-CWT) is slightly short of shift invariant and directionally selective in two or rise up dimensions.The nature of multidimensional DT-CWT is non separable & dependent on the computationally expeditious, separable filter bank(SFB).This paper explains the designing of complex wavelet transform with directional properties and use of this designed form in squeezing of image. If we take the DT-CWT transform, then many of wavelet coefficients are approximately zero and this shows the intra sub-bands dependency. We further access the performance of SPIHT coding preliminary plan for coding of those coefficients. At last, In the results of proposed preliminary plan gives higher rate of squeezing and lower mean square error(MSE) compared to plan of DWT. Dual tree complex wavelet transform-SPIHT preliminary plan outperform DWT based preliminary plan at lower bit rates.","PeriodicalId":90726,"journal":{"name":"Signal and image processing : an international journal","volume":"30 1","pages":"43-51"},"PeriodicalIF":0.0,"publicationDate":"2014-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81748384","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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