Pest Detection Method Using Multi-Fractal Analysis

作     者：Yun-Ki KIM Jang-myung LEE 

作者机构：School of Electrical EngineeringPusan National University 

出 版 物：《Journal of Measurement Science and Instrumentation》 (测试科学与仪器（英文版）)

年 卷 期：2011年第2卷第3期

页      面：240-243页

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the MKE(The Ministry of Knowledge Economy) Korea under the ITRC(Infor mationTechnology Research Center)support programsupervised by the NIPA(National IT Industry Promotion Agency)(NIPA-2010-C1090-1021-0010) 

主　　题：multi-fractal analysis image segmentation pest detection 

摘      要：A novel method for pest detection is proposed based on the theory of multi-fractal spectrum to extract pests on plant *** local and global information of the image regularity were obtained by multi-fractal *** applying fractal dimension,the spots on leaf images can be extracted without loosing or introducing any *** different parts of images are re-analysis by morphology operations to determine the candidate regions of *** performance of multi-fractal analysis of whitefly detection is investigated through greenhouse *** experimental results show that the proposed method is robust to noise from light and is not sensitive to the complex environment.