2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)最新文献

Detection of Interstitial Lung Disease using correlation and regression methods on texture measure 基于纹理测量的相关性和回归方法检测间质性肺疾病

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-03-30 DOI: 10.1109/ICIVPR.2017.7890877

Mohd Salzahrin Mohd Hamzah, Rosminah Md Kasim, A. Yunus, O. M. Rijal, N. Noor

引用次数: 4

Single cell mass measurement from deformation of nanofork 纳米叉变形的单细胞质量测量

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-03-30 DOI: 10.1109/ICIVPR.2017.7890863

Fazly Rabby Akash, Amin Sheikh, Habibur Rahman, M. Ahmad

{"title":"Single cell mass measurement from deformation of nanofork","authors":"Fazly Rabby Akash, Amin Sheikh, Habibur Rahman, M. Ahmad","doi":"10.1109/ICIVPR.2017.7890863","DOIUrl":"https://doi.org/10.1109/ICIVPR.2017.7890863","url":null,"abstract":"A great revolution in health science could be done if the disease could be diagnosis at very early stage. The conventional chemically manipulated biological analysis of group cells is not able to illustrate the fundamental properties of a cell such as cell proliferations, cell growths, cell damage and electro-mechanical properties. In this paper, we are representing a method to measure the mass of a single cell using the deformation of a nanofork (which will pick the cell form a line array substrate). We have used Newton's third law related with the deformation angle caused by the moment of inertia (as the fork will bend downward). Silicon is used as a base material of the nanofork. Firstly, the nanofork is inserted into the line array substrate then it picks up the cell to the upwards creating a deformation of the nanofork because of the cell weight. Then deformation angle is calculated form simulation result. For the experimental purpose we have used cell size is 5 µm. We observed the deformation angle 0.4 µm form the simulation result. Which is sufficient to find out the mass of the cell. Using the deformation angle and the related equations we have measured the mass of a single cell 0.16 pg. This result is very consistent with the previously reported single yeast cell mass.","PeriodicalId":126745,"journal":{"name":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133320844","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

Smart material interfaces: Playful and artistic applications 智能材料界面:有趣和艺术的应用

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-03-30 DOI: 10.1109/ICIVPR.2017.7890882

A. Nijholt, A. Minuto

引用次数: 8

Handwritten Arabic numeral recognition using deep learning neural networks 使用深度学习神经网络的手写阿拉伯数字识别

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-02-15 DOI: 10.1109/ICIVPR.2017.7890866

Akm Ashiquzzaman, A. Tushar

引用次数: 116

Chord Angle Deviation using Tangent (CADT), an efficient and robust contour-based corner detector 弦角偏差使用切线(CADT)，一个有效的和鲁棒的轮廓为基础的角检测器

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-02-01 DOI: 10.1109/ICIVPR.2017.7890857

Mohammad Asiful Hossain, A. Tushar

引用次数: 6

An adaptive digital image watermarking scheme with PSO, DWT and XFCM 基于PSO、DWT和XFCM的自适应数字图像水印方案

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 2017-02-01 DOI: 10.1109/ICIVPR.2017.7890868

Mashruha Raquib Mitashe, A. Habib, Anindita Razzaque, Ismat Ara Tanima, J. Uddin

引用次数: 13

Feature extraction and characterization of cardiovascular arrhythmia and normal sinus rhythm from ECG signals using LabVIEW 利用LabVIEW对心电信号进行心血管心律失常和正常窦性心律的特征提取和表征

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 1900-01-01 DOI: 10.1109/ICIVPR.2017.7890871

A. Zaidi, M. Ahmed, A. Bakibillah

引用次数: 7

An approach to recognize book title from multi-cell bookshelf images 从多单元书架图像中识别图书标题的方法

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 1900-01-01 DOI: 10.1109/ICIVPR.2017.7890886

Nuzhat Tabassum, Sujan Chowdhury, M. Hossen, Salah Uddin Mondal

{"title":"An approach to recognize book title from multi-cell bookshelf images","authors":"Nuzhat Tabassum, Sujan Chowdhury, M. Hossen, Salah Uddin Mondal","doi":"10.1109/ICIVPR.2017.7890886","DOIUrl":"https://doi.org/10.1109/ICIVPR.2017.7890886","url":null,"abstract":"There are many conventional methods for book detection and title recognition from bookshelf images. But most of these methods are worked on single row bookshelf images. Here this paper presents a technique for segmenting books spine and recognizing book title from multi-row bookshelf images. Horizontal edges are detected and extracted from the images as to indicate individual rows. These separated row images are used in the next module where vertical lines are extracted in order to segment the book regions. Later all book spine images are converted into binary images. At the next step, small and unwanted objects are removed using region properties and subsequently and extracts titles from individual book spines. Then the characters of the title are segmented and extracted by using bounding box and connected component region. Separated character images are matched or unmatched with the data set images by applying template matching. As a result, the developed new method recognizes the title. The system design as a whole makes a contribution, but the extraction of the book titles from the multi-cell images makes the main principal of this paper. To test the proposed framework various bookshelf images with a variety of conditions are used and results are presented to prove its effectiveness.","PeriodicalId":126745,"journal":{"name":"2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116957761","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: 6

Reconstruction of gene network through Backward Elimination based Information-Theoretic Inference with Maximal Information Coefficient 基于最大信息系数的逆向消去信息推理的基因网络重构

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 1900-01-01 DOI: 10.1109/ICIVPR.2017.7890888

A. Paul, P. C. Shill

引用次数: 5

Time Efficient Receiver Oriented Sleep Scheduling for Underwater Sensor Network 面向时效性接收器的水下传感器网络睡眠调度

2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR) Pub Date : 1900-01-01 DOI: 10.1109/ICIVPR.2017.7890860

Md.Ibrahim Khalil, M. Hossain, Raisa Mamtaz, Imtiaz Ahmed, Moni Akter

引用次数: 6