发布求助
文献互助 智能选刊 最新文献

International Journal of Signal and Imaging Systems Engineering最新文献

筛选
英文 中文
A thresholding scheme of eliminating false detections on vehicles in wide-area aerial imagery 一种消除广域航空图像中车辆伪检测的阈值方案
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-08-09 DOI: 10.1504/IJSISE.2018.093827
Xin Gao
{"title":"A thresholding scheme of eliminating false detections on vehicles in wide-area aerial imagery","authors":"Xin Gao","doi":"10.1504/IJSISE.2018.093827","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.093827","url":null,"abstract":"Post-processings are usually necessary to reduce false detections on vehicles in wide-area aerial imagery. In order to improve the performance of vehicle detection, we propose a two-stage scheme, which consists of a thresholding method by constructing a pixel-weight based thresholding policy to classify pixels in the greyscale feature map of an automatic detection algorithm followed by morphological filtering. We use two aerial videos for performance evaluation, and compare the automatic detection results with the ground-truth objects. We compute average F-score and percentage of wrong classifications towards six detection algorithms before and after applying the proposed scheme. We measure the variation of overlap ratios from detections to objects, and establish sensitivity analysis to evaluate the performance of proposed scheme by combining it on each of two representative algorithms. Simulation results verify both validity and efficiency of the proposed thresholding scheme, also display the difference of detection performance between datasets and among algorithms.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"217"},"PeriodicalIF":0.6,"publicationDate":"2018-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2018.093827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48074901","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
IF-RD optimisation for bandwidth compression in video HEVC and congestion control in wireless networks using dolphin echolocation optimisation with FEC 视频HEVC中带宽压缩的IF-RD优化和无线网络中使用FEC的海豚回声定位优化的拥塞控制
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/ijsise.2018.10014296
B. Kumar
{"title":"IF-RD optimisation for bandwidth compression in video HEVC and congestion control in wireless networks using dolphin echolocation optimisation with FEC","authors":"B. Kumar","doi":"10.1504/ijsise.2018.10014296","DOIUrl":"https://doi.org/10.1504/ijsise.2018.10014296","url":null,"abstract":"At present, the latest standard for coding the videos is high-efficiency video coding (HEVC) technique. Owing to limitations of wireless channels on time variability and bandwidth, video transmission to multiple mobile users is difficult. Inter frame-rate distortion (IF-RD) is the technique used in this paper, and it provides more clear videos with a reduction in motion signal by compressing bandwidth and enhancing optimisation in HEVC. First, the multi-resolution encoder encodes the video by employing a fusion strategy called IF-RD optimisation strategy. In order to improve performance and achieve noiseless transmission, the forward error correction (FEC) and dolphin echolocation optimisation techniques are integrated. Token-based congestion control (TBCC) reduces messages that are dropped due to congestion in the network. It also provides computation time. By adopting HEVC, the system performs well and achieves better compression in bandwidth and saves better Peak signal-to-noise ratio (PSNR) data rate with no extra time for encoding.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"151"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43294815","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
Comparison of rotation invariant local frequency, LBP and SFTA methods for breast abnormality classification 旋转不变局部频率、LBP和SFTA乳腺异常分类方法的比较
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/IJSISE.2018.10014295
Spandana Paramkusham, Kunda M. M. Rao, B. V. V. S. N. Rao
{"title":"Comparison of rotation invariant local frequency, LBP and SFTA methods for breast abnormality classification","authors":"Spandana Paramkusham, Kunda M. M. Rao, B. V. V. S. N. Rao","doi":"10.1504/IJSISE.2018.10014295","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10014295","url":null,"abstract":"Breast cancer is the second most prominent cancer diagnosed among women. Digital mammography is one of the effective imaging modalities used to detect breast cancer in early stages. Computer-aided detection systems help radiologists to detect and diagnose abnormalities earlier and faster in a mammogram. In this paper, a comprehensive study is carried out on different feature extraction methods for classification of abnormal areas in a mammogram. The prominent techniques used for feature extraction in this study are local binary pattern (LBP), rotation invariant local frequency (RILF) and segmented fractal texture analysis (SFTA). Features extracted from these techniques are then fed to a support vector machine (SVM) classifier for further classification via 10-fold cross-validation method. The evaluation is performed using image retrieval in medical applications (IRMA) database for feature extraction. Our statistical analysis shows that the RILF technique outperforms the LBP and SFTA techniques.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"41 5","pages":"136"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41305583","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
Nakagami-m channel secrecy: a receiver assisted scheme Nakagami-m信道保密:接收机辅助方案
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/IJSISE.2018.10014294
L. Olawoyin, Oloyede A. Abdulkarim, Faruk Nasir, M. Abana
{"title":"Nakagami-m channel secrecy: a receiver assisted scheme","authors":"L. Olawoyin, Oloyede A. Abdulkarim, Faruk Nasir, M. Abana","doi":"10.1504/IJSISE.2018.10014294","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10014294","url":null,"abstract":"This paper considers the effect of an end-user assisted jamming scheme to achieve a secure transmission of information over Nakagami-m fading channel in wireless broadcast system. In this work, full duplex (FD) antenna at the legitimate receiver (LR) was introduced in a way that the LR will contribute additional noise to the system to degrade the eavesdropper's channel. The approach achieves secured transmission with improved secrecy when compared to the conventional method that artificial noise (AN) scheme is transmitted from the transmitter only. Numerical analysis and simulation results show an improvement in the secrecy performance metrics.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"129"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41458648","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
Evaluating compressive sensing algorithms in through-the-wall radar via F1-score 利用F1-score评价穿壁雷达压缩感知算法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/IJSISE.2018.10014297
Ali A. AlBeladi, A. Muqaibel
{"title":"Evaluating compressive sensing algorithms in through-the-wall radar via F1-score","authors":"Ali A. AlBeladi, A. Muqaibel","doi":"10.1504/IJSISE.2018.10014297","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10014297","url":null,"abstract":"To achieve high resolution through-the-wall radar imaging (TWRI), long wideband antenna arrays need to be considered, thus resulting in massive amounts of data. Compressive sensing (CS) techniques resolve this issue by allowing image reconstruction using much fewer measurements. The performance of different CS algorithms, when applied to TWRI, has not been investigated in a comprehensive and comparative manner. In this paper, popular CS algorithms are evaluated, to see which are most suitable for TWRI applications. As for the evaluation criteria, the notion of F1-score is adopted and used in the context of TWRI; thus emphasising the algorithms ability to reconstruct an image with correctly detected targets. Algorithms responses to different levels of signal-to-noise ratio (SNR) and compression rate are evaluated. Numerical results show that for systems with low SNR, alternating direction based algorithms work better than others. When the SNR is high, algorithms depending on spectral gradient-projection methods give good results even with high compression rates.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"164"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44367217","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: 13
A restoration and binarization method for multi-spectral damaged document image 一种多光谱损伤文档图像的恢复与二值化方法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/IJSISE.2018.10014299
N. Ouafek, M. Kholladi
{"title":"A restoration and binarization method for multi-spectral damaged document image","authors":"N. Ouafek, M. Kholladi","doi":"10.1504/IJSISE.2018.10014299","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10014299","url":null,"abstract":"Recently, researchers have started to focus on the use of multi-spectral system for document image analysis. This system provides different visions of the same document which brings to surface every hidden text. This paper suggests a new methodology dealing with document binarization and restoration problems. For document binarization, a couple of algorithms are performed to create two binary images. The first algorithm is based on a statistical feature and the second one, aims to fix the area of degradation in the document. These two binarization outputs are combined to generate a single binary mask. This mask is used in the second part of the methodology, which is the inpainting process to restore the initial look of the document image before degradation. The proposed methodology has been tested over two multi-spectral datasets. The obtained results show the effectiveness of the suggested method.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"182"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48559166","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
Analysis and estimation of traffic density: an efficient real time approach using image processing 交通密度的分析和估计:一种利用图像处理的高效实时方法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-07-25 DOI: 10.1504/IJSISE.2018.10014298
T. Shreekanth, M. Madhukumar
{"title":"Analysis and estimation of traffic density: an efficient real time approach using image processing","authors":"T. Shreekanth, M. Madhukumar","doi":"10.1504/IJSISE.2018.10014298","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10014298","url":null,"abstract":"Nowadays, traffic density is very high in most of the urban areas, because of the increase in the number of vehicles. Traffic congestion is a very common problem that leads to more lay-out time in traffic. In order to address this issue, an algorithm has been proposed in this work for traffic flow monitoring and analysis in real time based on image processing techniques. This paper describes a method of real time area and frame based traffic density estimation using edge detection for intelligent traffic control system. Area occupied by the edges of vehicles will be considered to estimate traffic density. The system will automatically estimate the traffic density of each road by calculating the area occupied by traffic which in turn will help to determine the duration of each traffic light. The main role of this study lies in the development of a new technique that detects traffic density according to the area occupied by the edges of vehicles for controlling traffic congestion. The proposed algorithm was evaluated on a 30 s video dataset which was sampled into 8 frames and yielded an average accuracy of 98.07%. This is comparable with the existing algorithms in the literature.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"172"},"PeriodicalIF":0.6,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44292338","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
A fast template-based technique to extract optic disc from coloured fundus images based on histogram features 基于直方图特征的彩色眼底图像视盘快速模板提取技术
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-05-22 DOI: 10.1504/IJSISE.2018.10013071
Baydaa Al-Hamadani
{"title":"A fast template-based technique to extract optic disc from coloured fundus images based on histogram features","authors":"Baydaa Al-Hamadani","doi":"10.1504/IJSISE.2018.10013071","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10013071","url":null,"abstract":"The process of localising and extracting optic disc (OD) from coloured fundus images is of much benefit to the process of diagnosing several eye diseases. This paper presents a fast and robust approach to extract OD by employing the histogram features of the input image and matching it with the histogram of a template image that has no pathological features. These steps result in an image with its own OD region and other pathological structures have more colour intensity than the original image. The proposed method locate part of the OD region first and then expands it to include all the required region based on morphological OD features such as location, area, and colour intensity. The testing results against 1540 fundus images taken from five public databases show that the proposed technique succeeded in extracting OD region from challenging images and it achieved 97.66%, 96.93%, 99.7% for sensitivity, specificity, and accuracy, respectively with a competitive average execution time equal to 2.5s.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"117"},"PeriodicalIF":0.6,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48410338","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
Medical image fusion using PCNN and Poisson-hidden Markov model 基于PCNN和泊松隐马尔可夫模型的医学图像融合
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-05-22 DOI: 10.1504/IJSISE.2018.10013066
Biswajit Biswas, Biplab K. Sen
{"title":"Medical image fusion using PCNN and Poisson-hidden Markov model","authors":"Biswajit Biswas, Biplab K. Sen","doi":"10.1504/IJSISE.2018.10013066","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10013066","url":null,"abstract":"The combination of multiple images into a single image without loss of any generosity, is known as image fusion. In medical diagnosis, the magnetic resonance imaging (MRI) gives the brain tissue anatomy without any functional information whereas the Positron emission tomography (PET) image gives the brain function with low spatial resolution. Combination of anatomical and functional tomographic images is required for better diagnosis purpose. Image fusion technique combines the spatial resolution of the functional images by merging them with a high-resolution anatomic image. This paper proposes a novel medical image fusion technique based on pulse coupled neural net (PCNN) and Poisson hidden Markov model (PHMM) that satisfies fusion criterion. The excellency of the proposed approach is verified by the comparison with some of the state-of-the-art techniques in terms of several quantitative fusion evaluation indexes.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"73"},"PeriodicalIF":0.6,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45476814","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
Speckle noise reduction for 3D ultrasound images by optimum threshold parameter estimation of bi-dimensional empirical mode decomposition using Fisher discriminant analysis 基于Fisher判别分析的二维经验模态分解最优阈值参数估计对三维超声图像进行斑点降噪
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2018-05-22 DOI: 10.1504/IJSISE.2018.10013070
Rafid Mostafiz, Mohammad Motiur Rahman, P. K. M. Kumar, Mohammad A. Islam
{"title":"Speckle noise reduction for 3D ultrasound images by optimum threshold parameter estimation of bi-dimensional empirical mode decomposition using Fisher discriminant analysis","authors":"Rafid Mostafiz, Mohammad Motiur Rahman, P. K. M. Kumar, Mohammad A. Islam","doi":"10.1504/IJSISE.2018.10013070","DOIUrl":"https://doi.org/10.1504/IJSISE.2018.10013070","url":null,"abstract":"This paper presents an approach to speckle noise reduction for 3D ultrasound images using bi-dimensional empirical mode decomposition (BEMD). 3D ultrasound is a popular diagnostic system for assessing the progression of diseases for its diverse benefits and application. Speckle noise often obscures the fine details and degrades the spatial resolution and, contrast quality that makes the interpretation of ultrasound image more difficult. The proposed method estimates an optimum threshold value of intrinsic mode functions (IMFs) using Fisher discriminant analysis (FDA) for reducing the speckles in 3D volume of ultrasound images. FDA has applied on 2D IMFs, then explored and extended to 3D. The 3D volume rendering is performed on the basis of integrating 2D slice images that provide strong speckle reduction and edge preservation. The experiment result has compared with the several other state-of-the-art threshold methods. The proposed method is also good in edge preservation and contrast resolution.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"11 1","pages":"93"},"PeriodicalIF":0.6,"publicationDate":"2018-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47617389","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信