נגישות
menu      
Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
Image fusion of visible and thermal images for fruit detection
Year:
2009
Source of publication :
Biosystems Engineering
Authors :
Alchanatis, Victor
;
.
Volume :
103
Co-Authors:
Bulanon, D.M., Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States
Burks, T.F., Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States
Alchanatis, V., Agricultural Research Organization-The Volcani Center, Bet Dagan, Israel
Facilitators :
From page:
12
To page:
22
(
Total pages:
11
)
Abstract:
Image fusion is the combination of two or more images of a scene to improve visual perception or feature extraction. A thermal image and a visible image of an orange canopy scene were fused to improve fruit detection. Visible images are formed by reflection in the visible spectrum while thermal images are created from thermal radiation. A digital colour camera captured the visible source image and a thermal infrared camera acquired the thermal source image. Because the scene was acquired by two different cameras with different fields of view and spatial resolutions, image registration was performed prior to image fusion. Two image fusion approaches were applied, Laplacian pyramid transform (LPT) and fuzzy logic. Results showed that both image fusion methods improved fruit detection when compared to using the thermal image alone. Based on image fusion evaluation indices, the fuzzy logic approach performed better than the LPT. © 2009 IAgrE.
Note:
Related Files :
A thermals
Fruits
Fuzzy logic approaches
Image fusion methods
Image registration
Laplacian pyramids
Thermal sources
Visible spectrums
Show More
Related Content
More details
DOI :
10.1016/j.biosystemseng.2009.02.009
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
29164
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:44
Scientific Publication
Image fusion of visible and thermal images for fruit detection
103
Bulanon, D.M., Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States
Burks, T.F., Department of Agricultural and Biological Engineering, University of Florida, Gainesville, FL, United States
Alchanatis, V., Agricultural Research Organization-The Volcani Center, Bet Dagan, Israel
Image fusion of visible and thermal images for fruit detection
Image fusion is the combination of two or more images of a scene to improve visual perception or feature extraction. A thermal image and a visible image of an orange canopy scene were fused to improve fruit detection. Visible images are formed by reflection in the visible spectrum while thermal images are created from thermal radiation. A digital colour camera captured the visible source image and a thermal infrared camera acquired the thermal source image. Because the scene was acquired by two different cameras with different fields of view and spatial resolutions, image registration was performed prior to image fusion. Two image fusion approaches were applied, Laplacian pyramid transform (LPT) and fuzzy logic. Results showed that both image fusion methods improved fruit detection when compared to using the thermal image alone. Based on image fusion evaluation indices, the fuzzy logic approach performed better than the LPT. © 2009 IAgrE.
Scientific Publication
You may also be interested in