2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)最新文献_第5页

Multi-branch classifiers for pedestrian detection from infrared night and day images 基于红外昼夜图像的行人检测多分支分类器

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763622

Karol Piniarski, P. Pawlowski

引用次数: 5

A study on signal processing methods applied to hearing aids 助听器信号处理方法的研究

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763616

Krzysztof Kakol, B. Kostek

引用次数: 5

Algorithm and implementation of automatic phonemic transcription for Polish 波兰语语音自动转录的算法与实现

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763631

P. Kłosowski

引用次数: 5

MeMoS — A software tool for extraction of anatomical structures data from 3D medical images 一个从三维医学图像中提取解剖结构数据的软件工具

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763594

Zbigniew Tyfa, M. Strzelecki

引用次数: 2

Evaluating an algorithm for 3D reconstruction of blood vessels for further simulations of hemodynamic in human artery branches 评估一种血管三维重建算法，以进一步模拟人体动脉分支的血流动力学

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763595

A. Polanczyk, Tomasz Wozniak, M. Strzelecki, W. Szubert, L. Stefanczyk

引用次数: 16

Texture analysis of 2D spatial distribution of blood pharmacokinetic model parameters for endometrial carcinoma classification 子宫内膜癌血药动学模型参数二维空间分布的纹理分析

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763593

M. Kociński, A. Materka, A. Lundervold, H. Salvesen, S. Ytre-Hauge, I. Haldorsen

{"title":"Texture analysis of 2D spatial distribution of blood pharmacokinetic model parameters for endometrial carcinoma classification","authors":"M. Kociński, A. Materka, A. Lundervold, H. Salvesen, S. Ytre-Hauge, I. Haldorsen","doi":"10.1109/SPA.2016.7763593","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763593","url":null,"abstract":"This paper describes a pilot study aimed at evaluating the usefulness of texture parameters computed from blood pharmacokinetic maps as biomarkers of cancers. The maps are extracted from DCE MRI images which, in turn, visualize blood perfusion in tissue by means of a contrast medium. Each voxel of a DCE image is characterised by a curve in time domain (enhancement signal). The shape of such curves is characteristic to different tissues and is quantified by fitting a proposed parameterized signal model. Different-modality MR images were acquired for a small number of patients, prior to diagnosed cancer surgical extraction. Six images were collected for each patient, four of them were distributions of blood pharmacokinetic model parameters and two — ADC and VIBE MR images. The extracted carcinoma tissue for each patient was investigated by pathologists. This histological grade provided labels to images for supervised data exploration. Both unsupervised (clustering) and supervised (LDA) experiments demonstrated the image texture can be a promising biomarker to reflect correlations between tumour tissue appearance at structural and functional MRI and the corresponding histological characteristics.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130071733","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

Signal-to-noise ratio in power electronic digital control circuits 电力电子数字控制电路中的信噪比

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763606

K. Sozański

引用次数: 6

Evolutionary algorithm for transformation of short-time signal into frequency-domain description 短时信号转化为频域描述的进化算法

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763582

J. Majewski, R. Wojtyna

{"title":"Evolutionary algorithm for transformation of short-time signal into frequency-domain description","authors":"J. Majewski, R. Wojtyna","doi":"10.1109/SPA.2016.7763582","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763582","url":null,"abstract":"The problem of making precise frequency-domain representation of discrete-time signals, knowledge of which is restricted to a very small number of samples, i.e. is based on the number of samples which are equal to or less then several dozen, is discussed in the paper. The proposed approach utilizes adaptive synthesis aided by evolutionary algorithm. One of the main advantages of the presented method is that no spectral leakages can appear when time-domain description is transformed to the frequency-domain. Other superiorities of the proposed algorithm over the classical techniques have been presented in [9, 10]. In this paper, details concerning the most essential problems encountered during practical applications of the evolutionary algorithm to deal with signals of physical nature are considered. It has been shown that the proposed method can work successfully if some necessary conditions are fulfilled. Examples of applying with good results the evolutionary algorithms for building the frequency domain picture of discrete time signals are demonstrated. The obtained results of the performed analysis with the use of the evolutionary technique are promising and further investigation in this field is in progress.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127717415","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

Investigations on skeleton completeness for skeleton-based shape matching 基于骨架形状匹配的骨架完备性研究

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763597

Cong Yang, O. Tiebe, M. Grzegorzek, B. Indurkhya

{"title":"Investigations on skeleton completeness for skeleton-based shape matching","authors":"Cong Yang, O. Tiebe, M. Grzegorzek, B. Indurkhya","doi":"10.1109/SPA.2016.7763597","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763597","url":null,"abstract":"Skeleton is an important shape descriptor for de-formable shape matching, because it integrates both geometrical and topological features of a shape. As the skeletonisation process often generates redundant skeleton branches that may seriously disturb the skeleton matching and cause high computational complexity, skeleton pruning is required to remove the inaccurate or redundant branches while preserving the essential topology of the original skeleton. However, pruning approaches normally require manual intervention to produce visually complete skeletons. As different people may have different perceptions for identifying visually complete skeletons, it is unclear how much the accuracy of skeleton-based shape matching is influenced by human selection. Moreover, it is also unclear how skeleton completeness impacts the accuracy of skeleton-based shape matching. We investigate here these two questions in a structured way. In addition, we present experimental evidence to show that it is possible to do automatic skeleton pruning while maintaining the matching accuracy by estimating the approximate pruning power of each shape.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061703","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

Automatic extraction and clustering of phones 自动提取和聚类的电话

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763633

Stanisław Kacprzak, Mariusz Masior, M. Ziólko

引用次数: 1