Title :
Feature Extraction of Edible Oil FTIR Based on Fractal Geometry
Author :
Sun Qiao-chu ; Xiao chuang-bai ; Guo Ben ; Mu Qun-fei
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
Abstract :
A feature extraction of edible oil FTIR based on fractal geometry is proposed in this paper. Theoretical calculation formulas of fractal dimension are introduced. The calculation method of box-counting dimension based on FTIR is analyzed. We have used the open source computer vision library OpenCV to implement the FTIR of edible vegetable oils fractal dimension calculation algorithm. The result indicates that the FTIR of corn oil and sesame oil can be discriminated effectively by the difference of box-counting dimension.
Keywords :
Fourier transform spectroscopy; computational geometry; computer vision; feature extraction; food processing industry; fractals; production engineering computing; vegetable oils; OpenCV; box-counting dimension; edible oil FTIR; feature extraction; fourier transform infrared spectroscopy; fractal geometry; open source computer vision library; Character recognition; Computational geometry; Educational institutions; Feature extraction; Food technology; Fractals; Information geometry; Petroleum; Space technology; Sun;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.209
