Foliage Plant Retrieval using Polar Fourier Transform, Color Moments and Vein Features

Details Foliage Plant Retrieval using Polar Fourier Transform, Color Moments and Vein Features Foliage Plant Retrieval using Polar Fourier Transform, Color Moments and Vein Features

2011-10-07

arxiv.org/abs/1110.1513v1

Computer Science

Computer Vision and Pattern Recognition

13 pages; Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.3, September 2011

Scientific paper

10.5121/sipij.2011.2301

This paper proposed a method that combines Polar Fourier Transform, color moments, and vein features to retrieve leaf images based on a leaf image. The method is very useful to help people in recognizing foliage plants. Foliage plants are plants that have various colors and unique patterns in the leaf. Therefore, the colors and its patterns are information that should be counted on in the processing of plant identification. To compare the performance of retrieving system to other result, the experiments used Flavia dataset, which is very popular in recognizing plants. The result shows that the method gave better performance than PNN, SVM, and Fourier Transform. The method was also tested using foliage plants with various colors. The accuracy was 90.80% for 50 kinds of plants.

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