DocumentCode
1807908
Title
The automatic classification of the agricultural products based on the wavelet texture analysis
Author
Yi-Rong Luo
Author_Institution
Inf. Sci. & Technol. Coll., Hunan Agric. Univ., Changsha, China
Volume
4
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
2791
Lastpage
2794
Abstract
The paper puts forward a technology for the agricultural products automatic identification based on the wavelet texture analysis. The experiment chooses different levels of four apples, extracting their wavelet texture features and then classifying their features. The experiment shows that the technology has smaller computing complexity and higher stability for the product change whose products have the same kind but different classifications.
Keywords
agricultural products; computational complexity; feature extraction; image classification; image texture; wavelet transforms; agricultural products automatic identification; apples; automatic classification; computing complexity; features classification; product change; wavelet texture analysis-based agricultural products; wavelet texture features extraction; Joints; Noise; Vectors; Watermarking; automatic identification; multi-scale wavelet; texture analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182542
Filename
6182542
Link To Document