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
Earth mover's distance-based CBIR using adaptive regularised Kernel fuzzy C-means method of liver cirrhosis histopathological segmentation 应用自适应正则化核模糊c均值法对肝硬化组织病理分割的基于距离的推土机CBIR
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005432
Nirmala S. Guptha, K. Patil
{"title":"Earth mover's distance-based CBIR using adaptive regularised Kernel fuzzy C-means method of liver cirrhosis histopathological segmentation","authors":"Nirmala S. Guptha, K. Patil","doi":"10.1504/IJSISE.2017.10005432","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005432","url":null,"abstract":"Liver cirrhosis is the most common disease, which caused many serious problems in adults and also old people. Much advancement has been arrived in the treatment and diagnosis of cirrhosis, still identifying the exact affected region is a challenging one. Content-based image retrieval in the identification of liver cirrhosis is a popular task performed usually, in which many techniques are introduced by the researchers so far. This paper is a part among all, which focus on providing the efficient detection of cirrhosis on the basis of separation and location of nuclei method. The liver cells are classified, and the overlapping of nuclei and non-nuclei cells is separated to evaluate the distance among them so as to locate the disease. The classification of cells is implemented with the help of adaptive regularised Kernel fuzzy C-means technique, and the distance between consecutive nuclei and non-nuclei is estimated by using earth movers distance. The experimental results and their analysis describe that the proposed method performs well than the other methods.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"39"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44128526","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
Joint feature extraction technique for text detection from natural scene image 自然场景图像文本检测的联合特征提取技术
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005426
Ramgopal Segu, K. Suresh
{"title":"Joint feature extraction technique for text detection from natural scene image","authors":"Ramgopal Segu, K. Suresh","doi":"10.1504/IJSISE.2017.10005426","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005426","url":null,"abstract":"Detection text detection and extraction from natural scenes (i.e. video or images) can deliver significant information for various applications. To address the issue of text detection, a novel approach for text detection from natural scene image is introduced by developing a joint feature extraction method by considering shape and scale invariant feature transform (SIFT) feature analysis techniques. Shape extraction is improved by applying curvature-based shape analysis model. To construct the feature descriptor, input image is passed through canny edge detection process in which gradients are computed of each image. Later, we perform SIFT analysis and SIFT-based feature matching to formulate the SIFT feature descriptor. Finally, these two descriptors are merged together, and a combined descriptor is presented for text detection. Experimental study is carried out by considering benchmark ICDAR 2003, 2013 and 2015 data sets. Experimental study shows that proposed approach outperforms when compared with state-of-art text detection model.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"14"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45723004","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
Artificial-intelligence-based heuristic searching tools and knowledge representation to solve cryptography problems, puzzles, vehicle detection and path finding 基于人工智能的启发式搜索工具和知识表示，用于解决密码学问题、谜题、车辆检测和路径查找
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005424
S. Raja, T. Rajkumar, K. Sowndariya
{"title":"Artificial-intelligence-based heuristic searching tools and knowledge representation to solve cryptography problems, puzzles, vehicle detection and path finding","authors":"S. Raja, T. Rajkumar, K. Sowndariya","doi":"10.1504/IJSISE.2017.10005424","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005424","url":null,"abstract":"The objective of this paper is to present different artificial-intelligence-based heuristic searching algorithms, such as the ones in this paper: the breadth-first search (BFS), depth-first search (DFS), Best-First Search, and A* and AO* searching techniques. The BFS and DFS help solve puzzles and simple Caesar cipher substitution problems. In this paper, plain text is obtained from the given cipher text using the BFS and DFS. The A* approach is used to solve puzzles and find the best path between a start city and a destination city. Finally, the AO* algorithm graph is drawn to find a vehicle in heavy traffic in cities. It is justified that the artificial intelligence tools discussed in this paper are successfully used to solve cryptographic problems, puzzles, path finding and vehicle detection.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"1"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45304930","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
Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET 基于杜鹃搜索的动态TCP Vegas在MANET中的有效拥塞控制
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005434
D. Sunitha, A. Nagaraju, G. Narsimha
{"title":"Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET","authors":"D. Sunitha, A. Nagaraju, G. Narsimha","doi":"10.1504/IJSISE.2017.10005434","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005434","url":null,"abstract":"In the internet congestion control, transmission control protocol (TCP)-Vegas is a source algorithm that provides better performance. However, it has two main issues: first one is rerouting and unable to identify updation of round-trip time (RTT) when changes occurred in the network, these two problems leads to affects the performance of Vegas. These drawbacks persist mostly in the Vegas estimation process of the propagation delay, i.e. BaseRTT. In this paper, we proposed a novel algorithm that uses the cuckoo search optimisation algorithm for selecting the optimal value of BaseRTT. Also, our proposed algorithm has dynamically considered slow start algorithm based on the estimation in real time, the available bandwidth and adjust decrease/ increase rate in congestion avoidance phase for a particular network environment. Simulation results have shown that our proposed algorithm can effectively avoid packet losses and attain the maximum throughput when compared with existing algorithms.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"47"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42296143","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 generation of multiple choice questions for e-assessment 用于电子评估的多项选择题的自动生成
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005435
A. Santhanavijayan, S. Balasundaram, S. Narayanan, S. V. Kumar, V. Prasad
{"title":"Automatic generation of multiple choice questions for e-assessment","authors":"A. Santhanavijayan, S. Balasundaram, S. Narayanan, S. V. Kumar, V. Prasad","doi":"10.1504/IJSISE.2017.10005435","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005435","url":null,"abstract":"It is important for students to expertise in their field of study, because there is an agile change in all the domains. Even though resources are available to learn, proper assessment helps them to improve upon their knowledge. In this paper, an automatic generation of multiple choice questions on any user-defined domain is proposed. It first extracts text relevant to the given domain from the web and summarises using fireflies-based preference learning. The sentences in the summary are transformed into stem for the MCQs. The distractors are generated using similarity metrics such as hypernyms and hyponyms. The system also generates analogy questions to test the verbal ability of the students.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"54"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47875306","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: 12
State of the art of smoke and fire detection using image processing 利用图像处理技术进行烟雾和火灾探测的现状
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005428
M. M. Umar, L. D. Silva, M. S. Bakar, M. Petra
{"title":"State of the art of smoke and fire detection using image processing","authors":"M. M. Umar, L. D. Silva, M. S. Bakar, M. Petra","doi":"10.1504/IJSISE.2017.10005428","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005428","url":null,"abstract":"In this paper we present a comprehensive review of the state of the art of smoke and fire detection techniques using image processing. Smoke is a good indicator of a pre-fire condition and many fires are indicators of subsequent dangerous situations due to the spread of fire. In this paper we first start our comparison of smoke detection methods and different types of approaches for the classification of smoke. Furthermore we analyse different types of technologies and various models involve in detection techniques such as RGB and HSI models for detecting smoke and fire. Generally, the false alarm rate can be reduced by image processing through effective types of detection techniques such as vision-based or sensor-based methods. Mainly in this paper, we focus on optimised technologies in order to detect smoke and fire at the earliest possible stage of the event, and smoke and fire detection by satellite vision methods.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"56 1","pages":"22"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731622","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: 20
Intelligent mobile agents collaboration for the performance enhancement in wireless sensor networks 面向无线传感器网络性能提升的智能移动代理协作
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005437
A. Vijayalakshmi, T. G. Palanivelu
{"title":"Intelligent mobile agents collaboration for the performance enhancement in wireless sensor networks","authors":"A. Vijayalakshmi, T. G. Palanivelu","doi":"10.1504/IJSISE.2017.10005437","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005437","url":null,"abstract":"Wireless sensor network consists of energy-dependent environment monitoring sensor nodes with sensing, computing, storing and communicating components with power unit. As the network is open to all other devices, incorporating security becomes a challenging task for the resource-constrained wireless sensor networks. Mobile agent's deployment provides solution to the problems occurring in WSNs. We define an intelligent mobile agent (IMA)-based security optimisation in which different agents govern the network performance such as routing, security check and transmission. Node's behaviour, available energy and congestion at the link are analysed for every transmission by different agents that ensure the secure communication by eliminating attackers from the routing path. Different from the other agent-based routing schemes, IMA utilises minimum agents for even a large scalable network. The process is simulated, and the results prove that IMA provides enhanced performance and secure communication.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"72"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48711453","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
Particle swarm optimisation K-means clustering segmentation of foetus ultrasound image 基于粒子群算法的胎儿超声图像k均值聚类分割
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005433
D. Parasar, V. Rathod
{"title":"Particle swarm optimisation K-means clustering segmentation of foetus ultrasound image","authors":"D. Parasar, V. Rathod","doi":"10.1504/IJSISE.2017.10005433","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005433","url":null,"abstract":"The purpose of medical image segmentation is to extract information such as volume, shape, motion of organs for detecting abnormalities from the medical image for improvement and fast diagnosis. In this paper, a segmentation algorithm has been implemented for foetus ultrasound image by particle swarm optimisation (PSO) K-means clustering algorithm with fuzzy filter. Impulsive noise inherent in ultrasound image has been removed using fuzzy filter. Then, PSO K-means clustering segmentation method is applied for partitioning foetus ultrasonic images into multiple segments, which applies an optimal suppression factor for the perfect clustering in the specified data set. Experimental results show that the proposed algorithm outperforms other segmentation algorithms like seeded region growing using PSO, fuzzy C-means and watershed in terms of segmentation accuracy for speckle noise added to foetus ultrasound medical images.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"95"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43220552","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: 10
Application of machine learning approach in detection and classification of cars of an image 机器学习方法在汽车图像检测和分类中的应用
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005425
B. Ashwini, B. N. Yuvaraju
{"title":"Application of machine learning approach in detection and classification of cars of an image","authors":"B. Ashwini, B. N. Yuvaraju","doi":"10.1504/IJSISE.2017.10005425","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005425","url":null,"abstract":"Support vector machine (SVM) qualified on histogram orientation gradients (HOG) features is a genuine standard across many visual awareness responsibilities. Due to the change in the illumination and scene complexity, moving vehicle detection has become one of the very important components. Therefore, in this paper, a HOG feature descriptor is proposed. HOG features are not perceptive to illumination change and performance is better in characterising object shape and appearance. A feature vector is built by combining all the HOG features, which are required to train a linear SVM classifier for classification of vehicles.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"8"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47625972","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
Area, delay and power comparison of fault-tolerant systems with TMR using different voter circuits 采用不同投票电路的TMR容错系统的面积、延迟和功率比较
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2017-06-21 DOI: 10.1504/IJSISE.2017.10005436
V. Elamaran, H. Upadhyay
{"title":"Area, delay and power comparison of fault-tolerant systems with TMR using different voter circuits","authors":"V. Elamaran, H. Upadhyay","doi":"10.1504/IJSISE.2017.10005436","DOIUrl":"https://doi.org/10.1504/IJSISE.2017.10005436","url":null,"abstract":"In a current very large-scale integration (VLSI) technology evolution, the reliability issues are the major concern for the improvement of the system. The most fundamental method used for the fault-tolerant system is triple modular redundancy (TMR) in which the majority voter circuit is used to obtain the fault-free response. In this study, the different voter circuits are implemented to analyse the least layout area and lower power dissipation with an application-specific integrated circuits (ASIC) approach using the Microwind layout editor tool. This work is carried out with the eight voting circuits including two proposed methods. The application examples such as a 32-bit adder, an unsigned 8×8 array multiplier, bitwise XOR operation and a 3 × 3 high-pass filter are demonstrated to compare the performance of different voters. The simulation results (power, area, delay) for all the four application examples are obtained and compared.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"10 1","pages":"63"},"PeriodicalIF":0.6,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42439461","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
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