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

Atlas-based global and local RF segmentation of head and neck organs on multimodal MRI images 基于atlas的多模态MRI图像头颈部器官全局和局部射频分割

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073577

S. Urbán, A. Tanács

引用次数: 7

Towards hardware-friendly retinex algorithms 对硬件友好的视网膜算法

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073578

Nikola Banić, S. Lončarić

引用次数: 4

Analytic spectrum as a tool for time-frequency signal analysis 分析频谱作为时频信号分析的工具

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073569

V. Antsiperov

引用次数: 1

Door detection in images of 3D scenes in an electronic travel aid for the blind 盲人电子旅行辅助设备三维场景图像中的门检测

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073593

P. Skulimowski, Mateusz Owczarek, P. Strumiłło

引用次数: 5

Efficient texture regularity estimation for second order statistical descriptors 二阶统计描述符纹理规则性的有效估计

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073575

Attila Tiba, B. Harangi, A. Hajdu

引用次数: 1

Decision support system for the diagnosis of neurological disorders based on gaze tracking 基于注视跟踪的神经系统疾病诊断决策支持系统

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073565

David Kupas, B. Harangi, Gyorgy Czifra, G. Andrassy

引用次数: 3

Gaussian mixture background for salient object detection 高斯混合背景显著目标检测

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073589

Z. Su, Hong Zheng, Guorui Song

{"title":"Gaussian mixture background for salient object detection","authors":"Z. Su, Hong Zheng, Guorui Song","doi":"10.1109/ISPA.2017.8073589","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073589","url":null,"abstract":"Salient object detection has become a valuable tool in image processing. In this paper, we propose a novel approach to get full-resolution saliency maps. The input image is segmented into superpixels, each of them presents an irregular but homogenous area of the image thus can be treated as an image unit. Intuitively, superpixels touching the image borders will have the potential to capture the background information. Therefore, pixels belong to those superpixels are collected as background samples to train a Gaussian mixture model. The saliency of each superpixel is then defined by computing the weighted probability density of the Gaussian mixture model followed by an enhancement and smoothness step. At the end, a dense conditional random field based refinement tool or cellular automata is selected by an adaptive threshold to remove the false salient regions or find other potential saliency regions to get a more accurate result in pixel-level. We compare our method to five saliency detection algorithms which are classic or similar to ours but published in recent years on a commonly used challenging dataset ECSSD. Experiments show that our approach outperforms others well.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"3 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":"115821108","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

Dental age estimation from panoramic X-ray images using statistical models 利用统计模型从全景x射线图像估计牙齿年龄

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073563

Luka Cular, Mia Tomaic, M. Subašić, T. Saric, Viktorija Sajkovic, M. Vodanović

引用次数: 10

Generation and evaluation of an MRI statistical organ atlas in the head-neck region 头颈部MRI统计器官图谱的生成与评价

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073595

A. Tanács

{"title":"Generation and evaluation of an MRI statistical organ atlas in the head-neck region","authors":"A. Tanács","doi":"10.1109/ISPA.2017.8073595","DOIUrl":"https://doi.org/10.1109/ISPA.2017.8073595","url":null,"abstract":"Segmenting organs in MRI images is a common task in medical practice where image registration techniques can be used in the preprocessing steps to reduce the required interactivity. This is especially true in the head and neck region where large variability of shape and size of organs is present among patients. When an image database of MRI images and segmented organ contours are available, these can be used to build probability atlases in a selected reference frame. The atlas data can then be transformed to the coordinate systems of studies to be segmented applying the transformations in the inverse direction. In this paper two registration approaches for atlas building are evaluated and compared. Separate atlases for 6 organs (spinal cord, trachea, carotis, jugularis, parotis, sternocleidomastoid muscle — SCM) are built from 15 MRI T2 weighted Fast Relaxation Fast Spin Echo (FRFSE) studies using expert segmented organ contours and evaluated using further 15 such studies. The evaluation takes into account the overlap of the expert segmented organ regions and the transformed probability atlases, the discrimination capabilities of the atlases in the carotis-jugularis region, and the errors induced by the inverse registration approach. The results show the superiority of the multiresolution B-Spline transformation implemented by the elastix package against a less flexible, composite transformation formed using scaled rigid + single resolution B-Spline approach. The presented framework can be used for e.g., determining regions of interests (ROIs) as a preprocessing step of learning based fully automatic segmentation approaches.","PeriodicalId":117602,"journal":{"name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","volume":"37 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":"122312409","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

Masking in chrominance channels of natural images — Data, analysis, and prediction 自然图像的色度通道中的掩蔽。数据、分析和预测

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis Pub Date : 2017-09-01 DOI: 10.1109/ISPA.2017.8073583

V. Kitanovski, Marius Pedersen

引用次数: 3