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International Journal of Signal and Imaging Systems Engineering最新文献

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Hardware implementation of Gabor filter for MRI using XSG 基于XSG的MRI Gabor滤波器的硬件实现
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078267
Anis Ladgham, A. Sakly, A. Mtibaa
{"title":"Hardware implementation of Gabor filter for MRI using XSG","authors":"Anis Ladgham, A. Sakly, A. Mtibaa","doi":"10.1504/IJSISE.2016.078267","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078267","url":null,"abstract":"Feature extraction from images is an important stage for a recognition system. In this paper, we propose hardware architecture for the extraction of textural features from Magnetic Resonance Imaging (MRI) based on Gabor filter. The strength of Gabor filters in image processing is the similarity of their frequency and orientation representations to those of the human visual system. They are appropriate for texture representation and discrimination. The present architecture is developed using the Xilinx System Generator (XSG) and is implemented on Virtex-V Field Programmable Gate Array (FPGA). The implementation of our method on FPGA gives it the advantages of portability and real time extraction. The performances of the proposed method are demonstrated using a set of medical images.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"262"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078267","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731447","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
Sign recognition using key frame selection 使用关键帧选择的符号识别
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.10000095
Rajeshree S. Rokade, D. Doye
{"title":"Sign recognition using key frame selection","authors":"Rajeshree S. Rokade, D. Doye","doi":"10.1504/IJSISE.2016.10000095","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.10000095","url":null,"abstract":"This paper deals with static and dynamic hand gesture (digits) recognition. The method provides a threefold novel contribution: (1) segmentation algorithm gives better results on any skin colour and any size of hand on complex and non-uniform background; (2) key frame finding algorithm and (3) the recognition technique of signs (static digits, alphabets and dynamic digits). We separate out key frames from a sequence of static gestures, which include correct gestures from a video sequence. The recognition efficiency of key frame detection is 93% using the proposed algorithm. The segmentation efficiency is almost 95%. Features are extracted using the proposed feature extraction algorithm, and gestures are recognised. We propose a novel algorithm for static and dynamic gesture recognition. The proposed algorithm shows recognition efficiency of 94.8% for static gestures and 94% for dynamic gestures.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"320"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731551","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
Text classification using scores based k-NN approach and term to category relevance weighting scheme 文本分类采用基于分数的k-NN方法和术语到类别的相关性加权方案
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078268
Ahmed Ben Afia, H. Amiri
{"title":"Text classification using scores based k-NN approach and term to category relevance weighting scheme","authors":"Ahmed Ben Afia, H. Amiri","doi":"10.1504/IJSISE.2016.078268","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078268","url":null,"abstract":"Text categorisation is the task of deciding whether a document belongs to a set of pre-specified classes of documents. To reach this goal, a TC system must include two basic stages. First stage consists on features extraction using a term weighting scheme. Second stage is the classification using a machine learning algorithm. After proposing, a new term to category relevance weighting scheme, called TF.IDF.TCR, we focus on finding a new algorithm to perform classification step. Results of our experiments, in which we use many classifiers, show promising performances. On the other hand, using relevance to category to improve the term's discriminating power appears to be inapplicable when classifying an unlabelled document. As a solution, we propose a k-NN based approach using scores calculating in order to resolve the problem of unknown category.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"283"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078268","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731454","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
An extended Mumford-Shah model for shape partitioning 形状划分的扩展Mumford-Shah模型
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078263
Habiba Nabi, A. Douik
{"title":"An extended Mumford-Shah model for shape partitioning","authors":"Habiba Nabi, A. Douik","doi":"10.1504/IJSISE.2016.078263","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078263","url":null,"abstract":"This paper proposes a 3D mesh segmentation method based on the Mumford-Shah model, which is composed by two terms: data fidelity and regularisation term. The minimisation of these ones is performed with the primal dual algorithm, by alternating a gradient descend in the primal variable and a gradient ascend in the dual variable. The estimation of the partition numbers is a potential step in the segmentation process. Various computation techniques were proposed in the literature but never coincide with the human perception for all models. In this paper we propose a new method for automatic computation of the optimal partitions number by analysing the behaviour of the second order difference of eigenvalues obtained from the dual Laplacian spectrum. By applying these partitions numbers in mesh segmentation, we obtained better values of the Rand Index metric compared with the state of the art.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"226"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078263","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731373","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
Novel extraction and tumour detection method using histogram study and SVM classification 基于直方图研究和支持向量机分类的肿瘤提取与检测方法
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078262
Sara Sandabad, A. Benba, Y. Tahri, A. Hammouch
{"title":"Novel extraction and tumour detection method using histogram study and SVM classification","authors":"Sara Sandabad, A. Benba, Y. Tahri, A. Hammouch","doi":"10.1504/IJSISE.2016.078262","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078262","url":null,"abstract":"In this article we present a new method for detecting and segmenting brain tumour regions weighted brain MRI in T1 (with contrast). This method consists of three main stages: (i) extracting the region of interest (brain) using our EMBE method; (ii) study and histogram analysis of the MRI image to create learning and initialise the classification algorithm will be applied later to retrieve and locate the tumour; (iii) tumour detection and classification using SVM into two classes: tumour class and no-tumour class. Our method will be completed by a characterisation of the tumour area by determining its geometric properties. This work will facilitate later the immense task radiologists to the significant number of MRI images have to deal with daily, and may also be a way for future researchers in order to develop other new methods and develop this research so interesting.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"202"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078262","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731823","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
Fuzzy linear projection on combined multi-feature characterisation vectors for facial expression recognition enhancement 结合多特征特征向量的模糊线性投影增强面部表情识别
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078266
Mohammed Saaidia, N. Zermi, M. Ramdani
{"title":"Fuzzy linear projection on combined multi-feature characterisation vectors for facial expression recognition enhancement","authors":"Mohammed Saaidia, N. Zermi, M. Ramdani","doi":"10.1504/IJSISE.2016.078266","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078266","url":null,"abstract":"Facial expression recognition became an important research subject for its diverse applications in human machine interaction. However, many challenges still to be overcome. By the presented work in this paper, we try to provide a new facial expression recognition technique based on combined vectors of multi-feature characterisation of the face. Thus, the face within an image is firstly localised using a simplified method, then it will be characterised in three different ways; by obtaining its Zernike moments feature vectors, known to compact geometric characteristics of the image, then by compiling AR model, supposed to be a representation of its spectral source model and at last, a statistical distribution analysis of the luminance information is performed through the LBP method. Obtained feature vectors were used to train neural network classifiers (NNC) in different manner. To demonstrate the effectiveness of the proposed technique, we record and compare recognition rates for NNC trained with each type of feature vector firstly, then for NNC trained with directly combined feature vectors and finally for NNC trained with composite feature vectors which underwent a fuzzy linear projection operation. Experiments were performed on the JAFFE and Yale database. Recorded results along with comparisons to other methods have affirmed the potency of the proposed approach attaining promising results compared to those reported in the literature.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"252"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078266","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731438","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
QRS detection combining entropic criterion and wavelet transform 结合熵准则和小波变换的QRS检测
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078264
S. Rekik, N. Ellouze
{"title":"QRS detection combining entropic criterion and wavelet transform","authors":"S. Rekik, N. Ellouze","doi":"10.1504/IJSISE.2016.078264","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078264","url":null,"abstract":"In this paper, we introduce a new method for QRS wave's locations using the local entropic criterion applied to the signal split on different successive scales, based on the G. Gonon and M. Djafari approach, which offers a local estimator for segmenting of a signal based on entropic criteria, and on the work of Mallat and Hwang for singularity detection using local maxima of coefficients wavelet resulting from the decomposition of a signal. The R wave corresponds to two modulus maximum lines with opposite signs (min-max). We evaluated the algorithm on manually annotated databases QT.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"299"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078264","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731386","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
Fault analysis and control of grounding power transformer 电力变压器接地故障分析与控制
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078265
A. Meddeb, S. Chebbi
{"title":"Fault analysis and control of grounding power transformer","authors":"A. Meddeb, S. Chebbi","doi":"10.1504/IJSISE.2016.078265","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078265","url":null,"abstract":"Neutral grounding systems are a critical element in the power system reliability. Thus, a good choice of grounding modes has become a hot-button issue among the power supply. During a single-phase to ground fault, current flows from the transformer winding through the ground path and the neutral grounding system. The paper presents considerations on the problematic of the grounding system. The theoretical and simulations studies allowed the control of the neutral grounding to avoid the insulation deterioration or accidental grounds in the transformer winding and avoid the distribution of zero-sequence current. For that reason, the attention of research is moving to developing a mathematical model to study the impact of neutral grounding transformer, the fault resistance effect and the impact of the distance separating a fault point to the power generators. We performed case study IEEE-14 bus under MATLAB environment.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"268"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078265","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731395","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
A content-based image retrieval using PCA and SOM 基于PCA和SOM的图像检索
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078259
Marouane Ben Haj Ayech, H. Amiri
{"title":"A content-based image retrieval using PCA and SOM","authors":"Marouane Ben Haj Ayech, H. Amiri","doi":"10.1504/IJSISE.2016.078259","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078259","url":null,"abstract":"Image search engines have progressed to allow an efficient retrieval. A common trend consists in the construction of a visual vocabulary, in order to apply the BOW model for image indexing. In this paper, we proposed an approach to build an efficient visual vocabulary: First, the feature space composed of SIFT descriptors is transformed into a lower-dimensional space using the Principal Component Analysis (PCA). Second, the resulting feature space is clustered using the Self Organising Map (SOM) and it results in a map of visual words. The proposed model, called PCA-SOM, is evaluated using a dataset of vehicle images from Pascal VOC 2007 benchmark and the experiments show encouraging results.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"276"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078259","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731792","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
A microphone array beamforming-based system for multi-talker speech separation 一种基于麦克风阵列波束形成的多话音分离系统
IF 0.6
International Journal of Signal and Imaging Systems Engineering Pub Date : 2016-08-12 DOI: 10.1504/IJSISE.2016.078257
Adel Hidri, H. Amiri
{"title":"A microphone array beamforming-based system for multi-talker speech separation","authors":"Adel Hidri, H. Amiri","doi":"10.1504/IJSISE.2016.078257","DOIUrl":"https://doi.org/10.1504/IJSISE.2016.078257","url":null,"abstract":"This paper presents a Multichannel Speech Separation System (MCSS) based on new beamforming frequency domain method. The beamformer exploits the spatial properties of the source signals using a microphone array. Therefore, it is based on a prior knowledge of the position of the speakers relative to the array. The proposed beamformer is defined with two processing steps: the first one is to keep a unit gain of the desired signal and the other blocks the wanted signal and minimises the output power of the interferences within only one step. In order to separate multiple speakers, multiple beamformers are used simultaneously, where a beamformer is computed for each source considering the remaining sources as interferers. We test and evaluate the proposed MCSS on real recording mixtures extracted from 'Multichannel In-Car Speech Database'. The experimental results proved the effectiveness of the proposed system in terms of speech separation. The quality of speech will be improved compared to the state-of-the-art.","PeriodicalId":56359,"journal":{"name":"International Journal of Signal and Imaging Systems Engineering","volume":"9 1","pages":"209"},"PeriodicalIF":0.6,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJSISE.2016.078257","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66731736","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
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