2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)最新文献

Research on key algorithm of intelligent identification for refueling robot 加油机器人智能识别关键算法研究

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/iccwamtip.2017.8301449

Senhua Wang, Zhenli Ma, Hao Cui, Ping Wan, Xianli Li

引用次数: 0

Order: The key role in machine learning 顺序:机器学习中的关键角色

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301448

Jicheng Meng, Tao Yang

引用次数: 0

The images segmentation of liver malignant tumor based on CT images in HCC 基于肝癌CT图像的肝脏恶性肿瘤图像分割

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301471

Di Liu, Yanbo Liu, Bei Hui, Lin Ji, Jia-Jun Qiu

引用次数: 0

Region based localized matching image retrieval system using color-size features for image retrieval 基于区域的局部匹配图像检索系统，利用颜色大小特征进行图像检索

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301481

Muhammad Hammad Memon, Jianping Li, I. Memon, Q. Arain, M. H. Memon

{"title":"Region based localized matching image retrieval system using color-size features for image retrieval","authors":"Muhammad Hammad Memon, Jianping Li, I. Memon, Q. Arain, M. H. Memon","doi":"10.1109/ICCWAMTIP.2017.8301481","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2017.8301481","url":null,"abstract":"It has been studied that CBIR has attracted many researchers and most of the previous CBIR systems have shown searching procedure of digital image on the basic features such as texture, color, size and shape of a certain query image in large database. According to this research, we are going to present region-based image repossession system that is going to exhibit model that would help to specify multiple region of interest inside query image. In this research we have presented a novel visual feature, that might contain color-size of the region query and its moments, however to combine color and region-size information of the watershed region. Moreover, a technique has been modeled for region filtering, that might depend upon color size of the given query image, that would stimulate the process of screening out of the most non related region and images for pre-processing of the recovery of image. Therefore, the technique presented would help to shorten the consequence of image background on image matching decision; however, an object's color would receive much more focus. Apart from that, amendment to region based similarity measurement has also been presented. It has been proved with the help of simulation results, that the given descriptor with the similarity measure amendments outperforms the existing descriptor that would be considered in content based image retrieval applications. Moreover, the given approach has performed better than the previous approaches.","PeriodicalId":259476,"journal":{"name":"2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128267379","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

Robust PID control in hot test of gyrotron travelling wave tubes 回旋管行波管热测试鲁棒PID控制

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301501

Zhaodong Wang, Guo Liu, Wangjian Xun, Yong Luo

引用次数: 0

Aspect term extraction of E-commerce comments based on model ensemble 基于模型集成的电子商务评论方面词提取

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301421

Huaiyu Wen, Jun Zhao

引用次数: 4

Using checkerboard rendering and deconvolution to eliminate checkerboard artifacts in images generated by neural networks 利用棋盘绘制和反卷积消除神经网络生成的图像中的棋盘伪影

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301478

Xiaofeng Gu, Jia Liu, Xiexin Zou, Ping Kuang

引用次数: 0

A fuzzy adaptive reasoning method for trains slide/slip detection 列车滑/滑检测的模糊自适应推理方法

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301416

Pham Van Tu, Qilian Bao, Liang Zhang, Haigui Xu, Yuding Du

引用次数: 1

A novel network model based ICA filter for face recognition 一种新的基于网络模型的ICA滤波器用于人脸识别

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301462

Yongqing Zhang, Tianyu Geng, Ying Cai

引用次数: 2

A visual saliency-based method for automatic lung regions extraction in chest radiographs 基于视觉显著性的胸片肺区域自动提取方法

2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) Pub Date : 2017-12-01 DOI: 10.1109/ICCWAMTIP.2017.8301470

Xin Li, Leiting Chen, Junyu Chen

{"title":"A visual saliency-based method for automatic lung regions extraction in chest radiographs","authors":"Xin Li, Leiting Chen, Junyu Chen","doi":"10.1109/ICCWAMTIP.2017.8301470","DOIUrl":"https://doi.org/10.1109/ICCWAMTIP.2017.8301470","url":null,"abstract":"Extracting lung regions accurately from a chest X-ray is an important procedure in computer-aided lung disease diagnosis. The shape and size of lungs may hold clues to serious diseases such as pneumothorax, pneumoconiosis and even emphysema. However, the precise extraction of lungs from a X-ray is still very difficult at the moment. In this paper, we propose a novel method of detecting the lung regions in chest radiographs. It is based on the observation that the lung fields in X-ray images well stand out against the background which makes them salient regions. According to our method, a X-ray image of lung is firstly segmented into several small sub-regions through graph-based segmentation. Then we detect the salient value of each sub-region using a global contrast function. The lung region can be estimated based on the salient values of each sub-region. Finally, cubic spline interpolation is used to obtain smoother boundaries by refining the results. In the experiment, we built a Lung Region Location model including 147 randomly selected chest X-ray images from the JSRT dataset and used the remaining 100 images in it to test our method. The results demonstrate that our method achieved state-of-the-art performance.","PeriodicalId":259476,"journal":{"name":"2017 14th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131443132","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: 8