Orchid disease detection using image processing and fuzzy logic

• Published in: 2013 International Conference on Electrical, Electronics and System Engineering, ICEESE 2013
• Main Author: Bin Mohamadazmi M.T.; Isa N.M.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2013
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908888846&doi=10.1109%2fICEESE.2013.6895039&partnerID=40&md5=544380279ce63b0243a6bfc413d48e18

This paper presents an orchid disease detection system using image processing and fuzzy logic. The main objective of this paper is to design a system that is able to detect an orchid disease by processing its leaf image. The system consists of two parts, image processing and fuzzy logic. The leaf image processing uses methods like grayscaling, threshold segmentation and noise removing. The data collected from the image processing are the centroid, area and number of diseased spot. These data or numbers is then fed through the fuzzy logic system to be processed through fuzzification, fuzzy inference and defuzzification in order to get the output. The result shows that the orchid disease can be detected by using image processing and fuzzy logic. © 2013 IEEE.