DCT-Based Characterization of Milk Products Using Diffuse Reflectance Images

Sara Sharifzadeh, Jacob Lercke Skytte, Line Katrine Harder Clemmensen, Bjarne Kjær Ersbøll

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

We propose to use the two-dimensional Discrete Cosine Transform (DCT) for decomposition of diffuse reflectance images of laser illumination on milk products in different wavelengths. Based on the prior knowledge about the characteristics of the images, the initial feature vectors are formed at each wavelength. The low order DCT coefficients are used to quantify the optical properties. In addition, the entropy information of the higher order DCT coefficients is used to include the illumination interference effects near the incident point. The discrimination powers of the features are computed and used to do wavelength and feature selection. Using the selected features of just one band, we could characterize and discriminate eight different milk products. Comparing this result with the current characterization method based of a fitted log-log linear model, shows that the proposed method can discriminate milk from yogurt products better.
Original languageEnglish
Title of host publication2013 18th International Conference on Digital Signal Processing (DSP)
Number of pages6
PublisherIEEE
Publication date2013
PagesW3C-6
ISBN (Print)978-1-4673-5807-1
DOIs
Publication statusPublished - 2013
Event18th International Conference on Digital Signal Processing (DSP 2013) - Santorini, Greece
Duration: 1 Jul 20133 Jul 2013
http://dsp2013.dspconferences.org/

Conference

Conference18th International Conference on Digital Signal Processing (DSP 2013)
CountryGreece
CitySantorini
Period01/07/201303/07/2013
Internet address

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