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

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Author :  Abdul Kadir, Lukito Edi Nugroho, Adhi Susanto and Paulus Insap Santosa

Affiliation :  Gadjah Mada University

Country :  Indonesia

Category :  Digital Signal & Image Processing

Volume, Issue, Month, Year :  2, 3, September, 2011

Abstract :


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.

Keyword :  Color Moments, Plant Retrieval, PFT (Polar Fourier Transform), PNN, SVM, Vein features

Journal/ Proceedings Name :  Signal & Image Processing: An International Journal (SIPIJ)

URL :  https://aircconline.com/sipij/V2N3/2311sipij01.pdf

User Name : Ryan cooper
Posted 22-06-2022 on 19:21:22 AEDT



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