About Communications       Author's Guide       Reviewers       Editorial Members       Archive
Volume 8
Volume 7
Volume 6
Volume 5
Volume 4
Volume 3
Volume 2
Volume 1
AASCIT Communications | Volume 1, Issue 2 | Oct. 13, 2014 online | Page:62-64
Novel Reconfigures Moments and Indirect Transformed Based Features for Effective Image-Set Classification
The majority important to compare regions within a single Moments image, but quantitative measurements. Like reconfigures moments and indirect transformed based features for effective image-set classification, data can be presented as median, mean and variance, or histogram. If histogram representative agreement Lights can be eradicated. Regions will be similar histogram same way and under different lighting conditions to be applied if it is normal and branch third time -region may vary depending on the distance at which an observer standing at the target. Transformed Based Features the viewing angle can change the position and resize. However, the number can help distinguish a noise attack in the sub region. Image-set Classification relative size is important.
Arash Kalami, Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran.
Image Classification, Database, Feature Extraction and Generation, Pattern Recognition, Rotation Invariant Moments, MPEG7
Yixin Chen, James Z. Wang and Robert Krovetz “CLUE: Cluster-Based Retrieval of Images by Unsupervised Learning “IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 14, NO. 8, AUGUST 2005.
Paisarn Muneesawang, and Ling Guan “An Interactive Approach for CBIR Using a Network of Radial Basis Functions “IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 6, NO. 5, OCTOBER 2014.
Marin Ferecatu and Nozha Boujemaa" Interactive Remote-Sensing Image Retrieval Using Active Relevance Feedback " IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 45, NO. 4, APRIL 2009
Ryszard S.choras "Image Feature Extraction Techniques and Their Application For CBIR and Biometrics Systems " INTERNATIONAL JOURNAL OF BIOLOGY AND BIOMEDICAL ENGINEERING Vol.1 , 2009
Arcticle History
Submitted: Aug. 21, 2014
Accepted: Aug. 28, 2014
Published: Oct. 13, 2014
The American Association for Science and Technology (AASCIT) is a not-for-profit association
of scientists from all over the world dedicated to advancing the knowledge of science and technology and its related disciplines, fostering the interchange of ideas and information among investigators.
©Copyright 2013 -- 2019 American Association for Science and Technology. All Rights Reserved.