Features Extraction for Pollen Recognition Using Gabor Filters
Journal Title: Food Science and Applied Biotechnology - Year 2018, Vol 1, Issue 2
Abstract
The aim of the article is to investigate the features extraction from microscope images of pollens for a classification of honey on the base of its botanical origin. A filter-bank of Gabor filters (as a biologically inspired recognition system) is used to obtain features, which are then post-processed using normalization, down-sampling (by bicubic interpolation), and principal components analysis (PCA). PCA is used for reducing the features size and a proper visualization of the features extraction results. Microscope images from the European pollen database, including pollen images of linden, acacia, lavender, rapeseed, and thistle, are used to illustrate capabilities of the proposed features extraction approach. The performance of the proposed algorithm is evaluated by simulations in MATLAB environment.
Authors and Affiliations
Diana Tsankova, Dimitar Nikolov
Keywords
Related Articles
- EP ID EP608686
- DOI 10.30721/fsab2018.v1.i2.11
- Views 230
- Downloads 0
Traditional Cottage Cheese production in Kosovo
The study was conducted to identify the technological process of cottage cheese production as well as its diversity produced in traditional way in Kosovo. The data were collected by survey realized during the period Octo...
Valorization of cocoa and rose waste for preparation of liqueurs
Chocolate industry generates yearly large quantities of cacao wastes. These by-products pose to the manufacturers’ difficulties for disposal and represent also valuable sources of substances: polysaccharides, polyphenols...
Recipe development for healthy sausages with medical plants
Because nutrition based cardiovascular or gastrointestinal diseases, hypertension, diabetes and cancer are increasing in industrial and well developed countries, possibility’s to prevent these disorders or to relive the...
Fatty acid profile of the backfat layers in four pig breeds
he aim of this study was to describe and compare the fatty acid profile of the backfat layers in four pig breeds – Landrace, Pietrain, Duroc and Large White. Six gilts per breed were used for the analysis. While differen...
Effect of interaction with food constituents on plant extracts antibacterial activity
Gaillac red wine powder and Cinnamon cassia essential oil were selected for their in vitro antibacterial activity against Staphylococcus aureus CNRZ3 and Listeria innocua LRGIA 01, respectively. In order to assess the po...