Title :
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
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;
Conference_Titel :
Student Project Conference (ICT-ISPC), 2014 Third ICT International
Conference_Location :
Nakhon Pathom
Print_ISBN :
978-1-4799-5572-5
DOI :
10.1109/ICT-ISPC.2014.6923227
