Detection of leaf structures in close-range hyperspectral images using morphological fusion

作者：Gladys Villegas,Wenzhi Liao,Ronald Criollo,Wilfried Philips,Daniel Ochoa

摘要：Close-range hyperspectral images are a promising source of information in plant biology,in particular,for in vivo study of physiological changes.In this study,we investigate how data fusion can improve the detection of leaf elements by combining pixel reflectance and morphological information.The detection of image regions associated to the leaf structures is the first step toward quantitative analysis on the physical effects that genetic manipulation,disease infections,and environmental conditions have in plants.We tested our fusion approach on Musa acuminata (banana) leaf images and compared its discriminant capability to similar techniques used in remote sensing.Experimental results demonstrate the efficiency of our fusion approach,with significant improvements over some conventional methods.

发文机构：Department of Telecommunications and Information Processing Facultad de Ingeniería en Eléctrica y Computación Department of Telecommunications and Information Processing Facultad de Ingeniería en Eléctrica y Computación

关键词：HYPERSPECTRALFUSIONMORPHOLOGYPLANTBIOLOGYHyperspectralfusionmorphologyplant biology

分类号： R73[医药卫生—肿瘤][医药卫生—临床医学]