2016 International Image Processing, Applications and Systems (IPAS)最新文献_第3页

A spatiotemporal model for video saliency detection 视频显著性检测的时空模型

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880113

Rahma Kalboussi, M. Abdellaoui, A. Douik

引用次数: 3

Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering 基于模糊c均值的高光谱图像空间和光谱聚类特征选择

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880114

M. Salem, K. Ettabaâ, M. Bouhlel

{"title":"Hyperspectral image feature selection for the fuzzy c-means spatial and spectral clustering","authors":"M. Salem, K. Ettabaâ, M. Bouhlel","doi":"10.1109/IPAS.2016.7880114","DOIUrl":"https://doi.org/10.1109/IPAS.2016.7880114","url":null,"abstract":"Hyperspectral image clustering is commonly applied for unsupervised classification. However, the clustering results of traditional methods are not sufficient seeing the nature of the image as a data cube with high dimensionality. In addition, the complex relations between spatial neighboring pixels are not considered in traditional methods. In this paper the fuzzy c-means clustering is revisited and customized. The proposed approach aims at the reduction of dimensionality of the data cube while preserving the most relevant spectral features and the improvement of the clustering result. The integration of spatial feature can express natural dependence between neighboring pixels and enhance the clustering. For that the presented approach starts by a band selection method based on the hierarchical clustering of spectral bands using the mutual information measure to reduce the dimensionality of the image. Then, a new version of the fuzzy c-means clustering algorithm is proposed; this version includes spatial and spectral features. Experimental result on real hyperspectral data shows an improvement on the accuracy over conventional clustering methods.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115426653","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: 14

Semi-automated rib cage segmentation in CT images for mesothelioma detection CT图像中用于间皮瘤检测的半自动化胸腔分割

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880133

Wael Brahim, M. Mestiri, N. Betrouni, K. Hamrouni

{"title":"Semi-automated rib cage segmentation in CT images for mesothelioma detection","authors":"Wael Brahim, M. Mestiri, N. Betrouni, K. Hamrouni","doi":"10.1109/IPAS.2016.7880133","DOIUrl":"https://doi.org/10.1109/IPAS.2016.7880133","url":null,"abstract":"The segmentation of the rib cage in CT images represents a task of primary importance in medical imaging for different reasons. From the study of the segmented bone several features can be extrapolated. These features are indices of the presence of some diseases such as the Malignant Pleural Mesothelioma (MPM) which is the main focus of our research. This tumor is generally located very close to the rib cage and its structure can serve as a reference for the location of the pleural mesothelioma. An estimation of the treatment surface and the mesothelioma location must be performed through rib cage segmentation. To achieve this goal, we must extract automatically the rib cage structure from other structure in in the CT image and prevent the inclusion of some undesirable regions such as mediastinal space in the final result. This paper presents a semiautomated rib cage segmentation method based on the image features. The algorithm to segment the rib cage employs a stepwise approach and consists of five stages : First, the centroid points of the spinal canal and the sternum were identified by the user. These points allowed an adjustment of a region of interest (ROI) over the mediastinal space and an intensity enhancement to separate the mediastinal space from the thoracic cage. Second, a thresholded volume was extracted from the input volume data of the CT image by applying multiple pixel thresholding. Next, a condidate bone was extracted from the thresholded volume data using three-dimensional (3D) connected component labeling algorithm. Finally, morphological operations of dilation were applied to the candidate bone regions to compensate for artifacts caused by partial volume effects. A total of 30 patients were used in our experiments. 22 of the 30 cases were successfully segmented and 8 of the 30 cases were successfully segmented but the sternum structure has been removed.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114377491","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

A survey of AR systems and a case study of virtual keyboard based camera projector system AR系统综述及基于虚拟键盘的摄像机投影系统案例研究

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880150

Marwa Karray, M. Krid, D. Sellami

{"title":"A survey of AR systems and a case study of virtual keyboard based camera projector system","authors":"Marwa Karray, M. Krid, D. Sellami","doi":"10.1109/IPAS.2016.7880150","DOIUrl":"https://doi.org/10.1109/IPAS.2016.7880150","url":null,"abstract":"Augmented reality is an interesting field which use live video imagery to add virtual data to the real world. In this paper, we firstly present a review of recent applications of augmented reality. One of the recent application of the augmented reality is the use of video projection to provide a more comfortable interaction with display devices without any hardware equipment. Thus, we secondly present a review of AR camera-projector based system and its main still open challenges. Visual understanding and image processing present a fundamental part which constitutes the easiest and most natural tool for interacting with a normal user in video projection system. One of the most important challenges is related to image interpretation and user fingertip tracking. In this context, we review the existing methods for hand segmentation, fingertip detection and contact surface detection. Finally, we consider a case study of virtual keyboard for user interface and smart environment. In this study, we propose a fingertip tracking system. We accordingly propose a hand segmentation approach based on new automated version of k-means. Experimental validation on real acquisitions is presented to illustrate the feasibility of the proposed system.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130227154","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

Possibilistic modeling palmprint and fingerprint based multimodal biometric recognition system 基于手印和指纹的多模态生物识别系统的可能性建模

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880147

M. Bellaaj, R. Trabelsi, Alima Damak Masmoudi, D. Sellami

{"title":"Possibilistic modeling palmprint and fingerprint based multimodal biometric recognition system","authors":"M. Bellaaj, R. Trabelsi, Alima Damak Masmoudi, D. Sellami","doi":"10.1109/IPAS.2016.7880147","DOIUrl":"https://doi.org/10.1109/IPAS.2016.7880147","url":null,"abstract":"Unimodal biometric recognition systems have random performances which can be efficient for some contexts and not for others. Fusing multiple modalities improves recognition performance and reduces some limitations of biometric systems based on a single modality, such as intentional fraud or universality problem (inability to acquire data from certain persons for some modes). Furthermore, in real-world applications, biometric data imperfections affect the performance of the recognition algorithms which may be caused by several factors such as the poor image quality, noise and adverse illumination and/or contrast. To handle data imperfections or redundancy and cover data variability, possibilistic modeling is a powerful tool. In this paper, we propose a robust multimodal biometric recognition system integrating fingerprint and palmprint based on possibilistic modeling approach. The proposed approach relies on possibility theory concepts for modeling biometric features. Accordingly, a set of relevant biometric features extracted from image samples is statistically analyzed and represented by a possibility distribution. The biometric templates from the palmprint and fingerprint are used for decision making by applying a score level data fusion process. Validation of the proposed approach is done on the public palmprint image database, CASIA (Chinese Academy of Sciences Institution of Automation) and the public fingerprint database, FVC (Fingerprint Verification Competition). As performance metric, we adopt the area under the ROC curve. Each both modalities give an AUC (0,8694) and (0,9531) respectively for palmprint and fingerprint when used alone. A typique multimodal system using both modalities gives an AUC of (0,9531). The proposed multimodal system has an AUC very close to unity (0,9997).","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114498291","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

Detection and analysis of breast masses from MRIs and dual energy contrast enhanced mammography 磁共振及双能量增强乳房x线摄影对乳房肿块的检测与分析

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880152

Soumaya Trabelsi Ben Ameur, L. Wendling, D. Sellami

引用次数: 4

SAD and SSE implementation for HEVC encoder on DSP TMS320C6678 基于DSP TMS320C6678的HEVC编码器的SAD和SSE实现

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880116

H. Kibeya, N. Bahri, M. A. B. Ayed, N. Masmoudi

引用次数: 8

RBF kernel based SVM classification for landmine detection and discrimination 基于RBF核的SVM分类地雷探测与识别

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880146

Khaoula Tbarki, S. B. Said, Riadh Ksantini, Z. Lachiri

{"title":"RBF kernel based SVM classification for landmine detection and discrimination","authors":"Khaoula Tbarki, S. B. Said, Riadh Ksantini, Z. Lachiri","doi":"10.1109/IPAS.2016.7880146","DOIUrl":"https://doi.org/10.1109/IPAS.2016.7880146","url":null,"abstract":"Ground Penetrating Radar (GPR) is used for subsurface exploration across different applications like landmines detection. It can detect and deliver the response of any buried kinds of object, however it cannot discriminate between landmines and false alarms. In this paper, we propose a detection method based on support vector machine (SVM) using one-dimensional GPR delivered data called Ascans. Each Ascan data is considered as a feature input for the proposed SVM classifier based on RBF Kernel. This method is tested on MACADAM database. Used data includes responses of different kind of landmines (targets) and responses of other objects (outliers) like alusquare, wood stick, pine, sodacan and stone buried in different types of soils. In order to evaluate the performance of our detection method, we have used three evaluation measures which are the Receiver Operating Characteristic (ROC) curves, the Area Under the Curve for the ROCs (AUC) and the running time. We have obtained 94.71% as AUC and 1.028s as running time. So, experimental results prove that the proposed method can successfully detect landmines and discriminate between targets and outliers.","PeriodicalId":283737,"journal":{"name":"2016 International Image Processing, Applications and Systems (IPAS)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114276061","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

FPGA hardware architecture for stereoscopic image compression based on block matching, watermarking and hamming code 基于块匹配、水印和汉明码的立体图像压缩FPGA硬件结构

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880065

G. Akkad, M. ElHassan, R. Ayoubi

引用次数: 2

Statistical analysis on coding unit partition of HEVC encoded HD videos HEVC编码高清视频编码单元划分的统计分析

2016 International Image Processing, Applications and Systems (IPAS) Pub Date : 2016-11-01 DOI: 10.1109/IPAS.2016.7880071

R. Elleuch, Fatma Belghith, M. A. B. Ayed, N. Masmoudi

引用次数: 1