CiiT international journal of digital image processing最新文献_第5页

A framework for extracting and representing project knowledge contexts using topic models and dynamic knowledge maps 一个使用主题模型和动态知识图提取和表示项目知识上下文的框架

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196528

Jin Xu, Zheng Li, Shuliang Li, Yanyan Zhang

引用次数: 1

Moiré fringe center determination using artificial neural network 基于人工神经网络的条纹中心确定

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197089

Wing Hon Woo, K. Yen

{"title":"Moiré fringe center determination using artificial neural network","authors":"Wing Hon Woo, K. Yen","doi":"10.1117/12.2197089","DOIUrl":"https://doi.org/10.1117/12.2197089","url":null,"abstract":"Moiré methods are commonly used in various engineering metrological practices such as deformation measurements and surface topography. In the past, most of the applications required human intervention in fringe pattern analysis and image processing development to analyze the moiré patterns. In a recent application of using circular gratings moiré pattern, researchers developed graphical analysis method to determine the in-plane (2-D) displacement change between the two circular gratings by analyzing the moiré pattern change. In this work, an artificial neural network approach was proposed to detect and locate moiré fringe centers of circular gratings without image preprocessing and curve fitting. The intensity values in columns of the transformed circular moiré pattern were extracted as the input to the neural network. Moiré fringe centers extracted using graphical analysis method were used as the target for the neural network training. The neural network produced reasonably accurate output with an average mean error of an average mean error of less than 1 unit pixel with standard deviation of less than 4 unit pixels in determining the location of the moiré fringe centers. The result showed that the neural network approach is applicable in moiré fringe centers determination and its feasibility in automating moiré pattern analysis with further improvement.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124276974","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

Research on non rigid registration algorithm of DCE-MRI based on mutual information and optical flow 基于互信息和光流的DCE-MRI非刚性配准算法研究

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197181

Shihua Yu, Rui Wang, Kaiyu Wang, Mengmeng Xi, Jiashuo Zheng, Hui Liu

{"title":"Research on non rigid registration algorithm of DCE-MRI based on mutual information and optical flow","authors":"Shihua Yu, Rui Wang, Kaiyu Wang, Mengmeng Xi, Jiashuo Zheng, Hui Liu","doi":"10.1117/12.2197181","DOIUrl":"https://doi.org/10.1117/12.2197181","url":null,"abstract":"Image matching plays a very important role in the field of medical image, while the two image registration methods based on the mutual information and the optical flow are very effective. The experimental results show that the two methods have their prominent advantages. The method based on mutual information is good for the overall displacement, while the method based on optical flow is very sensitive to small deformation. In the breast DCE-MRI images studied in this paper, there is not only overall deformation caused by the patient, but also non rigid small deformation caused by respiratory deformation. In view of the above situation, the single-image registration algorithms cannot meet the actual needs of complex situations. After a comprehensive analysis to the advantages and disadvantages of these two methods, this paper proposes a registration algorithm of combining mutual information with optical flow field, and applies subtraction images of the reference image and the floating image as the main criterion to evaluate the registration effect, at the same time, applies the mutual information between image sequence values as auxiliary criterion. With the test of the example, this algorithm has obtained a better accuracy and reliability in breast DCE-MRI image sequences.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115122417","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

Genre-based image classification using ensemble learning for online flyers 基于类型的图像分类使用集成学习在线传单

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197138

Payam Pourashraf, Noriko Tomuro, Emilia Apostolova

引用次数: 6

Unsupervised segmentation of soil x-ray microtomography images 土壤x射线微层析成像的无监督分割

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197067

Ajay K. Mandava, E. Regentova, M. Berli

引用次数: 0

The analysis of frequency domain characteristics of emotional images in eye-tracking experiment 眼动追踪实验中情绪图像频域特征分析

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2196909

Boqiang Fan, Huimin Ma, Xiang Wang

{"title":"The analysis of frequency domain characteristics of emotional images in eye-tracking experiment","authors":"Boqiang Fan, Huimin Ma, Xiang Wang","doi":"10.1117/12.2196909","DOIUrl":"https://doi.org/10.1117/12.2196909","url":null,"abstract":"Although recently eye-tracking method has been introduced into behavioral experiments based on dot-probe paradigm, some characteristics in eye-tracking data do not draw as much attention as traditional characteristics like reaction time. It is also necessary to associate eye-tracking data to characteristics of images shown in experiments. In this research, new variables, such as fixation length, times of fixation and times of eye movement, in eye-tracking data were extracted from a behavioral experiment based on dot probe paradigm. They were analyzed and compared to traditional reaction time. After the analysis of positive and negative scenery images, parameters such as hue frequency spectrum PAR (Peak to Average Ratio) were extracted and showed difference between negative and positive images. These parameters of emotional images could discriminate scenery images according to their emotions in an SVM classifier well. Besides, it was found that images’ hue frequency spectrum PAR is obviously relevant to eye-tracking statistics. When the dot was on the negative side, negative images’ hue frequency spectrum PAR and horizontal eye-jumps confirmed to hyperbolic distribution, while that of positive images was linear with horizontal eye-jumps. The result could help to explain the mechanism of human’s attention and boost the study in computer vision.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126639303","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

Infrared and visible image fusion based on shearlet transform and image enhancement 基于剪切波变换和图像增强的红外与可见光图像融合

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197091

Xiuqiong Zhang, Li Yu, Guo Huang

{"title":"Infrared and visible image fusion based on shearlet transform and image enhancement","authors":"Xiuqiong Zhang, Li Yu, Guo Huang","doi":"10.1117/12.2197091","DOIUrl":"https://doi.org/10.1117/12.2197091","url":null,"abstract":"In order to fuse the visible and infrared images captured in low visibility conditions, a method based on shearlet transform(ST) and image enhancement is proposed in this paper. Shearlets are equipped with a simple mathematical structure similar to wavelets, which are associated to a multi-scale analysis. An image could be decomposed by ST in any scale and any direction, in which shearlets show a greater ability to fully capture the intrinsic geometrical features of multidimensional phenomena. Firstly, the infrared and visible images are decomposed by ST respectively; meanwhile all the sub-images of R, G and B channels of visible image are enhanced. Secondly, the statistical character of the directional coefficients decomposed by ST meet the generalized Gaussian distribution (GGD). So, the coefficients are estimated using absolute moment estimation in local neighbor in directional coefficients. The estimated scale parameter is used to measure the saliency and compute the weight. The fused coefficients are obtained by the weighted average and are reconstructed the final fused image. The results of experiment show that the fused image has the maximum value of entropy and is more accord with the human visual system.","PeriodicalId":273984,"journal":{"name":"CiiT international journal of digital image processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125990591","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

Application of clustering for customer segmentation in private banking 聚类在私人银行客户细分中的应用

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197182

Xuan Yang, Jin Chen, P. Hao, Y. Wang

引用次数: 5

The trigonometric interpolation spline surface and its application in image zooming 三角插值样条曲面及其在图像缩放中的应用

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197085

Juncheng Li, Lian Yang

引用次数: 1

Method and simulation for spacecraft clock correction based on x-ray pulsars signal 基于x射线脉冲星信号的航天器时钟校正方法与仿真

CiiT international journal of digital image processing Pub Date : 2015-07-06 DOI: 10.1117/12.2197156

Xianzhou Gui, Chen Sun, Senlin Huang

引用次数: 0