Image Recognition Using Modified Zernike Moments
Zernike moments are complex moments with the orthogonal Zernike polynomials as kernel function, compared with other moments; Zernike moments have greater advantages in image rotation and low noise sensitivity. Because of the Zernike moments have image rotation invariance, and can construct arbitrary...
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IFSA Publishing, S.L.
2014-03-01
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Online Access: | http://www.sensorsportal.com/HTML/DIGEST/march_2014/Vol_166/P_1930.pdf |
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doaj-18fc212c7b6f46c1ba923a7de42b07b42020-11-24T22:42:49ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792014-03-011663219223Image Recognition Using Modified Zernike MomentsMin HUANG0Yaqiong MA1Qiuping GONG2School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, ChinaSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, ChinaSchool of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450001, ChinaZernike moments are complex moments with the orthogonal Zernike polynomials as kernel function, compared with other moments; Zernike moments have greater advantages in image rotation and low noise sensitivity. Because of the Zernike moments have image rotation invariance, and can construct arbitrary high order moments, it can be used for target recognition. In this paper, the Zernike moment algorithm is improved, which makes it having scale invariance in the processing of digital image. At last, an application of the improved Zernike moments in image recognition is given. http://www.sensorsportal.com/HTML/DIGEST/march_2014/Vol_166/P_1930.pdfZernike momentsRotation invarianceImage recognitionZernike polynomialNormalization. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Min HUANG Yaqiong MA Qiuping GONG |
spellingShingle |
Min HUANG Yaqiong MA Qiuping GONG Image Recognition Using Modified Zernike Moments Sensors & Transducers Zernike moments Rotation invariance Image recognition Zernike polynomial Normalization. |
author_facet |
Min HUANG Yaqiong MA Qiuping GONG |
author_sort |
Min HUANG |
title |
Image Recognition Using Modified Zernike Moments |
title_short |
Image Recognition Using Modified Zernike Moments |
title_full |
Image Recognition Using Modified Zernike Moments |
title_fullStr |
Image Recognition Using Modified Zernike Moments |
title_full_unstemmed |
Image Recognition Using Modified Zernike Moments |
title_sort |
image recognition using modified zernike moments |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2014-03-01 |
description |
Zernike moments are complex moments with the orthogonal Zernike polynomials as kernel function, compared with other moments; Zernike moments have greater advantages in image rotation and low noise sensitivity. Because of the Zernike moments have image rotation invariance, and can construct arbitrary high order moments, it can be used for target recognition. In this paper, the Zernike moment algorithm is improved, which makes it having scale invariance in the processing of digital image. At last, an application of the improved Zernike moments in image recognition is given.
|
topic |
Zernike moments Rotation invariance Image recognition Zernike polynomial Normalization. |
url |
http://www.sensorsportal.com/HTML/DIGEST/march_2014/Vol_166/P_1930.pdf |
work_keys_str_mv |
AT minhuang imagerecognitionusingmodifiedzernikemoments AT yaqiongma imagerecognitionusingmodifiedzernikemoments AT qiupinggong imagerecognitionusingmodifiedzernikemoments |
_version_ |
1725698142531223552 |