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Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis最新文献

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Projected texture fusion 投影纹理融合
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073579
Manfred Klopschitz, R. Perko, G. Lodron, G. Paar, H. Mayer
{"title":"Projected texture fusion","authors":"Manfred Klopschitz, R. Perko, G. Lodron, G. Paar, H. Mayer","doi":"10.1109/ISPA.2017.8073579","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073579","url":null,"abstract":"Active consumer grade depth sensors have motivated recent research on volumetric depth map fusion. This led to the development of new, efficient, video-rate integration and tracking methods. These approaches still suffer from the geometric inaccuracies of the input depth maps of consumer grade depth sensors. This paper presents a practical stereo system that combines highly accurate and robust projected texture stereo and efficient volumetric integration and allows to easily capture accurate 3D models of indoor scenes. We describe a stereo method that is optimized for random dot projection patterns and delivers complete and robust results. We also show the complementing hardware setup that delivers accurate, complete depth maps. Results of a real-world scene are compared to ground truth data.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115694676","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
Differentiating ureter and arteries in the pelvic via endoscope using deep neural network 应用深度神经网络在内窥镜下鉴别盆腔输尿管和动脉
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073574
B. Harangi, A. Hajdu, R. Lampé, P. Torok
{"title":"Differentiating ureter and arteries in the pelvic via endoscope using deep neural network","authors":"B. Harangi, A. Hajdu, R. Lampé, P. Torok","doi":"10.1109/ISPA.2017.8073574","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073574","url":null,"abstract":"Endoscope-based surgery has several beneficial effects regarding the rehabilitation of the patients, but has some drawbacks causing difficulties to medical experts, on the contrary. The main disadvantage is that the tactile information is lost to the expert who takes the surgical intervention. There are some organs (e.g. ureters and arteries) in the human body which have similar visual appearances, so the differentiation of them based on only visual expression via endoscopy is a challenging task to the medical experts. To support keyhole-surgery using state-of-the-art image processing solutions, we have developed a semi-automatic software which can distinguish ureters from arteries by a dedicated convolutional neural network (CNN). We have trained the CNN on 2000 images acquired during endoscopic surgery and tested on 500 test ones. 94.2% accuracy has been achieved in this two-classes classification task regarding a binary error function.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115613956","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
The constrained stochastic matched filter subspace tracking 约束随机匹配滤波子空间跟踪
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073596
Maissa Chagmani, B. Xerri, B. Borloz, C. Jauffret
{"title":"The constrained stochastic matched filter subspace tracking","authors":"Maissa Chagmani, B. Xerri, B. Borloz, C. Jauffret","doi":"10.1109/ISPA.2017.8073596","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073596","url":null,"abstract":"This paper introduces a new fast algorithm named CSMFST which estimates the p-dimensional optimal subspace, i.e. where the signal-to-noise ratio is maximized in the case of n-dimensional nonstationary signals. We assume that we treat both signal and noise which are characterized by their samples. This algorithm is an SP-type algorithm and uses the same principles as the Yet Another Subspace Tracking (YAST) algorithm when estimating the covariance matrices. At each step, it estimates a matrix which spans the optimal subspace.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126412699","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
Semi-automated measurement of the cobb angle from 3D mesh models of the scoliotic spine 半自动化测量cobb角从三维网格模型的脊柱侧凸
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073584
Uros Petkovic, Robert Korez, T. Vrtovec
{"title":"Semi-automated measurement of the cobb angle from 3D mesh models of the scoliotic spine","authors":"Uros Petkovic, Robert Korez, T. Vrtovec","doi":"10.1109/ISPA.2017.8073584","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073584","url":null,"abstract":"The Cobb angle is the main diagnostic parameter for evaluating spinal deformities. Traditionally, it is measured on two-dimensional coronal radiographic (X-ray) images. In this study, we present a semi-automated algorithm for the evaluation of the Cobb angle from three-dimensional mesh models of the spine. The method was tested on 22 spine models, and the obtained mean absolute error of 2.89° against reference measurements indicates that the method performs well.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134235133","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
Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks 基于卷积神经网络的内窥镜视频帧子宫壁像素分割
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073576
P. Burai, B. Harangi
{"title":"Pixelwise segmentation of uterine wall in endoscopic video frame using convolutional neural networks","authors":"P. Burai, B. Harangi","doi":"10.1109/ISPA.2017.8073576","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073576","url":null,"abstract":"Though the number of in vitro fertilization (IVF) has been rising continuously from the beginning of the new millennium, however the success rate of the implantations remained low. According to the statistics, the main reason of unsuccessful IVF relates to the woman factors. The aim of our research project is to provide an automatic image processing based decision support system for the gynecologists which tries to help medical experts to determine the most appropriate time for the insemination. In this paper, we present the first component of this tool, which deals with the preprocessing of the videos about the uterus for further examinations. It includes the segmentation of the video frames by fully convolutional neural network (FCNN) to determines the region of interest. The chosen model has been trained on 4000 images acquired during real hysteroscopic surgeries and tested on other 716 ones. We have achieved 92% segmentation accuracy regarding the correct recognition of the fundus.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127457159","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 pulse compression procedure for an effective measurement of intermodulation distortion 一种用于有效测量互调失真的脉冲压缩程序
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073572
P. Burrascano, S. Laureti, M. Ricci, A. Terenzi, S. Cecchi
{"title":"A pulse compression procedure for an effective measurement of intermodulation distortion","authors":"P. Burrascano, S. Laureti, M. Ricci, A. Terenzi, S. Cecchi","doi":"10.1109/ISPA.2017.8073572","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073572","url":null,"abstract":"Modelling real-world audio devices is essential for controlling their nonlinear behaviour and making quality evaluations. In particular, the measurement of nonlinear distortion plays an important role in audio reproduction systems since these nonlinear distortions affect the listening experience. In this context, common interesting measures are the total harmonic distortion, the harmonic distortion of order n and the intermodulation distortion. Due to the complex nature of audio signals, intermodulation distortion is more interesting than total harmonic distortion and harmonic distortion of order n since it provides a prediction of the distortion related to harmonics combination in the human perception of sounds. In this paper, a procedure for intermodulation distortion prediction is presented based on the identification of the kernels of a generalized Hammerstein system excited by a suitable input signal. Tests have been carried out both in simulated and real-world scenarios thus confirming the validity of the proposed approach.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128808955","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 convolutional neural network based approach to QRS detection 基于卷积神经网络的QRS检测方法
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073581
Marko Šarlija, Fran Jurisic, Siniša Popović
{"title":"A convolutional neural network based approach to QRS detection","authors":"Marko Šarlija, Fran Jurisic, Siniša Popović","doi":"10.1109/ISPA.2017.8073581","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073581","url":null,"abstract":"In this paper we present a QRS detection algorithm based on pattern recognition as well as a new approach to ECG baseline wander removal and signal normalization. Each point of the zero-centred and normalized ECG signal is a QRS candidate, while a 1-D CNN classifier serves as a decision rule. Positive outputs from the CNN are clustered to form final QRS detections. The data is obtained from the 44 non-pacemaker recordings of the MIT-BIH arrhythmia database. Classifier was trained on 22 recordings and the remaining ones are used for performance evaluation. Our method achieves a sensitivity of 99.81% and 99.93% positive predictive value, which is comparable with most state-of-the-art solutions. This approach opens new possibilities for improvements in heartbeat classification as well as P and T wave detection problems.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125501454","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: 44
Evaluation of image quality metrics for sharpness enhancement 评价图像质量指标的清晰度增强
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073580
Yao Cheng, Marius Pedersen, G. Chen
{"title":"Evaluation of image quality metrics for sharpness enhancement","authors":"Yao Cheng, Marius Pedersen, G. Chen","doi":"10.1109/ISPA.2017.8073580","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073580","url":null,"abstract":"Image quality assessment has become a meaningful research field due to the explosive growth of image processing technologies in imaging industries. It is becoming more usual to quantify the quality of an image using image quality metrics, rather than carrying out time-consuming psychometric experiments. However, there is little research on the performance of image quality metrics on quality enhanced images. In this paper, we focus on images that have been enhanced by sharpening. A psychometric experiment was designed with observers giving scores to different images enhanced by sharpening on a display in a controlled dark environment. The results showed that full reference image quality metrics performed well when sharpening did not improve the visual image quality, while in images where sharpening increased the visual quality the performance was lower. No reference image quality metrics show better predictions than full reference image quality metrics in most cases.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116265186","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
Simple multiplierless CIC compensators providing minimum passband deviation 简单的无乘法器CIC补偿器提供最小的通带偏差
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073571
Aljosa Dudarin, Goran Molnar, M. Vucic
{"title":"Simple multiplierless CIC compensators providing minimum passband deviation","authors":"Aljosa Dudarin, Goran Molnar, M. Vucic","doi":"10.1109/ISPA.2017.8073571","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073571","url":null,"abstract":"A simple multiplierless decimation filter is cascaded-integrator-comb (CIC) filter. However, the CIC filter offering high folding-band attenuations introduces a high passband droop. The most popular technique for reducing the droop is connecting a low-order FIR filter called compensator in cascade with CIC filter. In this paper, we present a method for the design of simple multiplierless compensators based on the minimization of the peak-to-peak passband deviation. We form a simple design problem by representing each compensator coefficient as only one signed power of two. The optimum coefficients are found by using the exhaustive search. We show that the proposed compensators with three and five coefficients significantly reduce the droop in wide passbands despite their extremely simple structures, which contain only two and four adders, respectively.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123909469","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
Using hierarchical histogram representation for the EM clustering algorithm enhancement 利用层次直方图表示对EM聚类算法进行增强
Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073566
A. Denisova, V. Sergeyev
{"title":"Using hierarchical histogram representation for the EM clustering algorithm enhancement","authors":"A. Denisova, V. Sergeyev","doi":"10.1109/ISPA.2017.8073566","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073566","url":null,"abstract":"This paper is devoted to EM clustering improvement using hierarchical multivariate histogram for probability density representation. We propose to store and operate with the image histogram by means of a special tree data structure. This allows to speed up computations in the case of multivariate input. We also answer the questions of the algorithm initialization and offer an initialization rule, which exploits the proposed histogram-tree structure. We have tested our algorithm modification and initialization rule using remote sensing images. Obtained results have confirmed that the modified algorithm is faster and the initialization rule provides better clustering in comparison with the traditional EM algorithm implementation.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125113174","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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