期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：3
页码：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：This paper proposed a method that combines Polar Fourier Transform, color moments, and vein featuresto retrieve leaf images based on a leaf image. The method is very useful to help people in recognizingfoliage 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 plantidentification. To compare the performance of retrieving system to other result, the experiments usedFlavia dataset, which is very popular in recognizing plants. The result shows that the method gave betterperformance than PNN, SVM, and Fourier Transform. The method was also tested using foliage plantswith various colors. The accuracy was 90.80% for 50 kinds of plants.
