Paper Info
Title
Comparative Analysis between LDR and HDR Images for Automatic Fruit Recognition and Counting.
Abstract
Precision agriculture is gaining an increasing interest in the current farming paradigm. This new production concept relies on the use of information technology (IT) to provide a control and supervising structure that can lead to better management policies. In this framework, imaging techniques that provide visual information over the farming area play an important role in production status monitoring. As such, accurate representation of the gathered production images is amajor concern, especially if those images are used in detection and classification tasks. Real scenes, observed in natural environment, present high dynamic ranges that cannot be represented by the common LDR (Low Dynamic Range) devices. However, this issue can be handled by High Dynamic Range (HDR) images since they have the ability to store luminance information similarly to the human visual system. In order to prove their advantage in image processing, a comparative analysis between LDR and HDR images, for fruits detection and counting, was carried out. The obtained results show that the use of HDR images improves the detection performance to more than 30% when compared to LDR.
Year
DOI
Venue
2017
10.1155/2017/7321950
JOURNAL OF SENSORS
Field
DocType
Volume
Computer vision,Human visual system model,Computer science,Information technology,Image processing,Low dynamic range,Precision agriculture,Artificial intelligence,Luminance,High dynamic range
Journal
2017
ISSN
Citations 
PageRank 
1687-725X
0
0.34
References 
Authors
12
4
Name
Order
Citations
PageRank
Tatiana M. Pinho130.73
João Paulo Coelho262.50
Josenalde B. Oliveira342.89
José Boaventura-Cunha432.42