Open Science Research Excellence

ICIPCVPR 2017 : International Conference on Image Processing, Computer Vision and Pattern Recognition

Sydney, Australia
December 4 - 5, 2017

Conference Code: 17AU12ICIPCVPR

Conference Proceedings

All submitted conference papers will be blind peer reviewed by three competent reviewers. The peer-reviewed conference proceedings are indexed in the Open Science Index, Google Scholar, Semantic Scholar, Zenedo, OpenAIRE, BASE, WorldCAT, Sherpa/RoMEO, and other index databases. Impact Factor Indicators.

Special Journal Issues

ICIPCVPR 2017 has teamed up with the Special Journal Issue on Image Processing, Computer Vision and Pattern Recognition. A number of selected high-impact full text papers will also be considered for the special journal issues. All submitted papers will have the opportunity to be considered for this Special Journal Issue. The paper selection will be carried out during the peer review process as well as at the conference presentation stage. Submitted papers must not be under consideration by any other journal or publication. The final decision for paper selection will be made based on peer review reports by the Guest Editors and the Editor-in-Chief jointly. Selected full-text papers will be published online free of charge.

Conference Sponsor and Exhibitor Opportunities

The Conference offers the opportunity to become a conference sponsor or exhibitor. To participate as a sponsor or exhibitor, please download and complete the Conference Sponsorship Request Form.

Important Dates

Abstracts/Full-Text Paper Submission Deadline   October 10, 2017
Notification of Acceptance/Rejection   October 20, 2017
Final Paper (Camera Ready) Submission & Early Bird Registration Deadline   November 3, 2017
Conference Dates   December 4 - 5, 2017

Important Notes

Please ensure your submission meets the conference's strict guidelines for accepting scholarly papers. Downloadable versions of the check list for Full-Text Papers and Abstract Papers.

Please refer to the Paper Submission GUIDE before submitting your paper.

Selected Conference Papers

1) Algorithm for Path Recognition in-between Tree Rows for Agricultural Wheeled-Mobile Robots
Anderson Rocha, Pedro Miguel de Figueiredo Dinis Oliveira Gaspar
2) The Application of a Neural Network in the Reworking of Accu-Chek to Wrist Bands to Monitor Blood Glucose in the Human Body
J. K Adedeji, O. H Olowomofe, C. O Alo, S.T Ijatuyi
3) An Improved K-Means Algorithm for Gene Expression Data Clustering
Billel Kenidra, Mohamed Benmohammed
4) Cost Effective Real-Time Image Processing Based Optical Mark Reader
Amit Kumar, Himanshu Singal, Arnav Bhavsar
5) Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan
6) MITOS-RCNN: Mitotic Figure Detection in Breast Cancer Histopathology Images Using Region Based Convolutional Neural Networks
Siddhant Rao
7) Neuron Efficiency in Fluid Dynamics and Prediction of Groundwater Reservoirs'' Properties Using Pattern Recognition
J. K. Adedeji, S. T. Ijatuyi
8) An Intelligent Nondestructive Testing System of Ultrasonic Infrared Thermal Imaging Based on Embedded Linux
Hao Mi, Ming Yang, Tian-yue Yang
9) A Motion Dictionary to Real-Time Recognition of Sign Language Alphabet Using Dynamic Time Warping and Artificial Neural Network
Marcio Leal, Marta Villamil
10) A Neural Network Classifier for Estimation of the Degree of Infestation by Late Blight on Tomato Leaves
Gizelle K. Vianna, Gabriel V. Cunha, Gustavo S. Oliveira
11) Image Rotation Using an Augmented 2-Step Shear Transform
Hee-Choul Kwon, Heeyong Kwon
12) Clustering Categorical Data Using the K-Means Algorithm and the Attribute’s Relative Frequency
Semeh Ben Salem, Sami Naouali, Moetez Sallami
13) Detecting Tomato Flowers in Greenhouses Using Computer Vision
Dor Oppenheim, Yael Edan, Guy Shani
14) Paddy/Rice Singulation for Determination of Husking Efficiency and Damage Using Machine Vision
M. Shaker, S. Minaei, M. H. Khoshtaghaza, A. Banakar, A. Jafari
15) A Computational Cost-Effective Clustering Algorithm in Multidimensional Space Using the Manhattan Metric: Application to the Global Terrorism Database
Semeh Ben Salem, Sami Naouali, Moetez Sallami

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