An Experimental Evaluation of the Polar-Fourier Greyscale Descriptor in the Recognition of Objects with Similar Silhouettes
The use of the Polar-Fourier Greyscale Descirptor in the recognition of objects, which are very similar in shape is evaluated in the paper. For this purpose, a benchmark image database consisting of six butterflies species was applied. The investigated descriptor, which was designed for the representation of objects extracted from digital images, is based on the combination of polar and Fourier transforms applied for objects in greyscale. Some other operations are applied in order to improve the efficiency of the algorithm as a whole. The method was tested using 120 images of butterflies, 20 for 6 species, and has obtained 90% of efficiency.
KeywordsTest Object Active Contour Image Encode Active Contour Model Average Recognition Rate
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