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

Autor:	Kadir, Abdul, Nugroho, Lukito Edi, Susanto, Adhi, Santosa, Paulus Insap
Rok vydání:	2011
Předmět:	Computer Science - Computer Vision and Pattern Recognition
Druh dokumentu:	Working Paper
DOI:	10.5121/sipij.2011.2301
Popis:	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. Comment: 13 pages; Signal & Image Processing : An International Journal (SIPIJ) Vol.2, No.3, September 2011
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1110.1513 Zobrazit plný text záznamu View this record from Arxiv