Flower recognition system based on image processing

Author

Tiay, Tanakorn ; Benyaphaichit, Pipimphorn ; Riyamongkol, Panomkhawn

Author_Institution

Dept. of Electr. & Comput. Eng., Naresuan Univ., Phitsanulok, Thailand

fYear

2014

fDate

26-27 March 2014

Firstpage

99

Lastpage

102

Abstract

The flower recognition system based on image processing has been developed. This system uses edge and color characteristics of flower images to classify flowers. Hu´s seven-moment algorithm is applied to acquire edge characteristics. Red, green, blue, hue, and saturation characteristics are derived from histograms. K-nearest neighbor is used to classify flowers. The accuracy of this system is more than 80%.

Keywords

edge detection; graph theory; image classification; image colour analysis; learning (artificial intelligence); Hu seven-moment algorithm; color characteristics; edge characteristics; flower image classification; flower recognition system; graph cut; histograms; image processing; k-nearest neighbor; saturation characteristics; Accuracy; Algorithm design and analysis; Classification algorithms; Image color analysis; Image edge detection; Hu´s seven moments; K-nearest neighbor; flower detection; flower recognition; graph cut; image processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Student Project Conference (ICT-ISPC), 2014 Third ICT International

Conference_Location

Nakhon Pathom

Print_ISBN

978-1-4799-5572-5

Type

conf

DOI

10.1109/ICT-ISPC.2014.6923227

Filename

6923227