Paper Title:
Image Registration Based on Feature Points Krawtchouk Moments
  Abstract

An image registration based on feature points Krawtchouk moments is proposed. Moments are the shape descriptors based on region. Krawtchouk moments are a set of discrete orthogonal moments and are more suitable for describing two-dimensional images compared to Zemike, Legendre moments. In the image registration based on feature points Krawtchouk moments, Krawtchouk moment invariants of the feature points neighborhood that have been extracted are solved, and then these Krawtchouk moment invariants constitute feature vectors used to describe the feature points, finally feature points are matched by calculating the Euclidean distance of feature vectors. The results of experiments show that Krawtchouk moment is simple and effective to describe image and is independent of rotation, scaling, and translation of the image.

  Info
Periodical
Edited by
Zhu Zhilin & Patrick Wang
Pages
584-589
DOI
10.4028/www.scientific.net/AMM.40-41.584
Citation
F. Hui, H. F. Wang, J. J. Li, "Image Registration Based on Feature Points Krawtchouk Moments", Applied Mechanics and Materials, Vols. 40-41, pp. 584-589, 2011
Online since
November 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wei Cong Na
Chapter 2: Biology Technology and Materials
Abstract:The new algorithm of fast-generated panoramic images this paper puts forward is to extract the feature points of images by the improved SIFT...
539
Authors: Zi Ming Xiong, Gang Wan
Chapter 8: Control and Automation
Abstract:In this paper, we propose an approach to automatic great-scene 3D reconstruction based on UAV sequence images. In this method, Harris feature...
2294
Authors: Yan Wei Wang, Si Qing Zhang, Bing Lin, Hong Liang, Yan Ming Pan
Chapter 4: Modeling, Automation and Related Themes
Abstract:Feature Point Extraction Method of X-ray Image Based on Scale Invariant is proposed in this paper for industrial X-ray image with low...
667
Authors: Shuang Xu, Min Li, Ji Feng Ding, Yan Qiu Cui
Chapter 6: Data Acquisition and Data Processing, Computational Techniques
Abstract:This paper presents a new personal identification approach with fusion of hand shape geometry and palmprint features based on Gabor wavelet...
1228
Authors: Feng Tian, Yu Bo Yan
Chapter 4: Advanced Manufacturing and Computer Engineering, Applications of Automation
Abstract:For solving the low matching efficiency problem due to high dimension of eigenvector in SIFT, a SIFT feature matching algorithm based on...
896