DocumentCode
2214246
Title
Image Feature Extraction for Hair Pieces Detection in Mushroom Semiproducts
Author
Wang, Xiuping ; Li, Tongqiang
Author_Institution
Dept. of Electron. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1282
Lastpage
1286
Abstract
An integrative structural feature extraction method for hair pieces detection is proposed using dyadic wavelet analysis. It considers the edge strength of the parallel boundaries simultaneously and the positions of the medial axes can be derived at the same time. An algorithm for calculating the direction of the medial axes points is also presented. After the discrete medial axes points being linked into lines, a further selection is made on the lines by statistical methods.
Keywords
edge detection; feature extraction; food products; wavelet transforms; discrete medial axes points; dyadic wavelet analysis; edge strength; hair pieces detection; image feature extraction; mushroom semiproducts; parallel boundaries; Discrete wavelet transforms; Feature extraction; Hair; Image edge detection; Information science; Optical reflection; Pixel; Shape; Statistical analysis; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.648
Filename
5454798
Link To Document