Traditional Chinese Patterns Analysis Based on Moment Invariants

In this paper, the numerical analysis is studied with the help of computer technology to geometry texture features of traditional Chinese art patterns. First, the gray-scale distribution of an original image is adjusted by using the gray value transformation and a new image with five gray levels is...

Full description

Saved in:
Bibliographic Details
Published in2013 IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks pp. 582 - 585
Main Authors Li Xiao-Niu, Guo Hai, Meng Jia-Na, Wang Bo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2013
Subjects
Computers
Educational institutions
Gray-scale
histogram equalization
Histograms
moment invariants
Pattern analysis
Pattern recognition
texture feature analysis
Online AccessGet full text

Cover

More Information
Summary:In this paper, the numerical analysis is studied with the help of computer technology to geometry texture features of traditional Chinese art patterns. First, the gray-scale distribution of an original image is adjusted by using the gray value transformation and a new image with five gray levels is formed. Second, by using the geometry invariant moment method in image analysis and processing, 12 geometry invariant moments of the new gray image as its geometric texture feature vector is calculated. Lastly, it carries on the classification using k-means clustering method in clustering analysis. Through specific examples, it shows that the method is simple in principle, easy realized, and it will provide a reference method for computer analysis and the processing of traditional Chinese art pattern.
ISBN:0769551599
9780769551593
DOI:10.1109/MSN.2013.18