2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献_第9页

Low-Light image enhancement algorithm based on HSI color space 基于HSI色彩空间的微光图像增强算法

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8301957

Fan Wu, U. KinTak

{"title":"Low-Light image enhancement algorithm based on HSI color space","authors":"Fan Wu, U. KinTak","doi":"10.1109/CISP-BMEI.2017.8301957","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2017.8301957","url":null,"abstract":"To improve the quality of low-light image, we proposed a new HSI based enhancement algorithm. This new algorithm enhances the luminance of low-light level images while preserving image contrast and details. First, the original RGB image is converted into HSI color space, then the intensity and saturation components are processed with different enhancement methods, but the hue component remains unchanged, the segmentation exponential enhancement algorithm is applied to saturation component S, then apply the histogram equalization to intensity component I and then the intensity component I is divided into high and low frequency sub-bands with wavelet transform, the Retinex algorithm is applied to the low frequency sub-band to adjust image luminance while the improved fuzzy enhancement is applied to the high frequency sub-band to enhance image details. Finally, reconstruct the component I with inverse wavelet transform, and the reconstructed component I will be synthesized with H and the enhanced S components to get a clear RGB image. By taking advantage of HSI color space and the improved enhancement algorithm, the enhancement of low illumination color image has been achieved. According to the experiment results, this algorithm can obviously improve the visual effect of low light color image.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1237 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81916687","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: 11

Inter-vehicle distance detection based on keypoint matching for stereo images 基于关键点匹配的立体图像车际距离检测

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302064

Y. Shima

引用次数: 2

Decomposition of tensors of cardio-vascular signals using CANDECOMP / PARAFAC algorithms 使用CANDECOMP / PARAFAC算法分解心血管信号张量

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302217

F. N. Almirantearena

引用次数: 1

Brain tissue segmentation based on convolutional neural networks 基于卷积神经网络的脑组织分割

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8301979

Zeyu Sun, Juhua Zhang

引用次数: 0

Maximum similarity degree for 2D fuzzy face recognition 二维模糊人脸识别的最大相似度

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302007

Yi Li, Xiaodong Liu

引用次数: 0

Analysis of brain functional networks based on inner composition alignment 基于内成分对齐的脑功能网络分析

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302212

Chuchu Ding, Jiafei Dai, J. Wang, Danqin Xing, Yiyi He, Jiaqin Wang, F. Hou

引用次数: 0

Optimization of web services composition using artificial bee colony algorithm 基于人工蜂群算法的web服务组合优化

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302320

Yongshang Cheng, Chongchong Ding

{"title":"Optimization of web services composition using artificial bee colony algorithm","authors":"Yongshang Cheng, Chongchong Ding","doi":"10.1109/CISP-BMEI.2017.8302320","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2017.8302320","url":null,"abstract":"In the open network environment, Web service has a strong dynamic nature and the optimal service combination scheme that produced in design stage may become invalid. Therefore, the single optimal service combination scheme is difficult to meet the individual needs of users, which will reduce the utilization of resource and the satisfaction of users. To solve this problem, this paper improves nectar selection strategy of the artificial bee colony algorithm. In addition, the paper designs a new neighborhood search formula and scout bee operation strategy, which effectively prevents the artificial bee colony algorithm from converging prematurely. After that, combined with Pareto strategy, it improves a Web services combination optimization method that is based on Pareto multi-objective artificial bee colony algorithm. This method will recommend a group of Pareto optimal solutions to users instead of recommending a single optimal solution to users. In this way, it can deal with the instability of combinational services in the dynamic environment and the different needs of users. Finally, the paper uses the relevant experiments to verify the feasibility and effectiveness of service combination optimization method improved in this paper.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"20 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77841206","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

One-class classification based river detection in remote sensing image 基于一类分类的遥感影像河流检测

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302011

S. Bo, Yongju Jing

引用次数: 2

Validation of fast SE-EPI T2 mapping with reference to conventional CPMG T2 mapping, and its application in prostate cancer 快速SE-EPI T2定位与常规CPMG T2定位的验证及其在前列腺癌中的应用

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302183

Min-Xiong Zhou, Ke Zan, X. Min, Liang Wang, Chao Ma, Xu Yan

{"title":"Validation of fast SE-EPI T2 mapping with reference to conventional CPMG T2 mapping, and its application in prostate cancer","authors":"Min-Xiong Zhou, Ke Zan, X. Min, Liang Wang, Chao Ma, Xu Yan","doi":"10.1109/CISP-BMEI.2017.8302183","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2017.8302183","url":null,"abstract":"This study attempts to compare a new fast SE-EPI T2 mapping method with the conventional CPMG method, which showed potential in prostate cancer evaluation and also other applications. The SE-EPI method has advantages in faster acquisition than CPMG method and can be integrated into scan of diffusion imaging with slightly increase of acquisition time. Voxel-by-voxel and region-of-interest (ROI) based analysis were performed to compare these two methods. The result showed that the T2 values of SE-EPI method is relatively lower than those of CPMG method, while a strong correlation was found: voxel-by-voxel analysis showed that the correlation coefficient was up to 0.84; in ROI-based analysis, correlation coefficient was up to 0.87. In addition, the clinical validation showed that the T2 maps of SE-EPI at b = 0 and CPMG-based T2 have similar statistical significance in differentiating between benign prostatic hyperplasia (BPH) and prostate cancer (PCa) with mean and standard deviation of 81.6 ± 13.8 vs 72.2 ± 8.5 (SE-EPI) and 108.9 ± 37.8 vs 87.5 ± 10.6 (CPMG). Thus, this work suggests that the SE-EPI method could be considered as a candidate for fast T2 mapping, and be used alone or combined with diffusion in multi-parametric analysis.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"23 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89530988","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

Length and diameter characterization of short carbon nanotubes by light scattering method 光散射法表征短碳纳米管的长度和直径

2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2017-10-01 DOI: 10.1109/CISP-BMEI.2017.8302321

Kun-wu Cao, Hui Yang, G. Zheng, Ying Ren, Wei Ge

{"title":"Length and diameter characterization of short carbon nanotubes by light scattering method","authors":"Kun-wu Cao, Hui Yang, G. Zheng, Ying Ren, Wei Ge","doi":"10.1109/CISP-BMEI.2017.8302321","DOIUrl":"https://doi.org/10.1109/CISP-BMEI.2017.8302321","url":null,"abstract":"The method of depolarized dynamic light scattering is an effective means to characterize the two-dimensional information (i.e. the length and the diameter) of particles in dilute solution. However, due to the large aspect ratio of short carbon nanotubes, the signal-to-noise ratio of the system is low and the measurement repeatability is poor. To solve this problem, multi-angle depolarized dynamic light scattering(MA-DDLS) is proposed. The reproducibility of the measurement system is improved by linear fitting of the results measured at different angles. Firstly, the basic principle of multi-angle dynamic light scattering measurement of short carbon nanotube was studied. Then, set up an experimental measurement system. The short carbon nanotube measuring system, which is based on photon counting, is developed by LabVIEW. Finally, the measurement is executed using standard carbon nanotube, and compared with the single angle measurement method. The result show that the measurement repeatability of the multi-angle depolarized dynamic light scattering method is superior to the single angle measurement method.","PeriodicalId":6474,"journal":{"name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89235126","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