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Author
Angel D. Sappa
;
Juan A. Carvajal
;
Cristhian A. Aguilera
;
Miguel Oliveira
;
Dennis G. Romero
;
Boris X. Vintimilla
Title
Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study
Type
Journal Article
Year
2016
Publication
Sensors Journal
Abbreviated Journal
Volume
Vol. 16
Issue
Pages
pp. 1-15
Keywords
image fusion
;
fusion evaluation metrics
;
visible and infrared imaging
;
discrete wavelet transform
Abstract
This paper evaluates different wavelet-based cross-spectral image fusion strategies adopted to merge visible and infrared images. The objective is to find the best setup independently of the evaluation metric used to measure the performance. Quantitative performance results are obtained with state of the art approaches together with adaptations proposed in the current work. The options evaluated in the current work result from the combination of different setups in the wavelet image decomposition stage together with different fusion strategies for the final merging stage that generates the resulting representation. Most of the approaches evaluate results according to the application for which they are intended for. Sometimes a human observer is selected to judge the quality of the obtained results. In the current work, quantitative values are considered in order to find correlations between setups and performance of obtained results; these correlations can be used to define a criteria for selecting the best fusion strategy for a given pair of cross-spectral images. The whole procedure is evaluated with a large set of correctly registered visible and infrared image pairs, including both Near InfraRed (NIR) and LongWave InfraRed (LWIR).
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
47
Permanent link to this record
Author
Angel D. Sappa
;
Cristhian A. Aguilera
;
Juan A. Carvajal Ayala
;
Miguel Oliveira
;
Dennis Romero
;
Boris X. Vintimilla
;
Ricardo Toledo
Title
Monocular visual odometry: a cross-spectral image fusion based approach
Type
Journal Article
Year
2016
Publication
Robotics and Autonomous Systems Journal
Abbreviated Journal
Volume
Vol. 86
Issue
Pages
pp. 26-36
Keywords
Monocular visual odometry LWIR-RGB cross-spectral imaging Image fusion
Abstract
This manuscript evaluates the usage of fused cross-spectral images in a monocular visual odometry approach. Fused images are obtained through a Discrete Wavelet Transform (DWT) scheme, where the best setup is em- pirically obtained by means of a mutual information based evaluation met- ric. The objective is to have a exible scheme where fusion parameters are adapted according to the characteristics of the given images. Visual odom- etry is computed from the fused monocular images using an off the shelf approach. Experimental results using data sets obtained with two different platforms are presented. Additionally, comparison with a previous approach as well as with monocular-visible/infrared spectra are also provided showing the advantages of the proposed scheme.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Enlgish
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
cidis @ cidis @
Serial
54
Permanent link to this record
Author
Juan A. Carvajal
;
Dennis G. Romero
;
Angel D. Sappa
Title
Fine-tuning deep convolutional networks for lepidopterous genus recognition
Type
Journal Article
Year
2017
Publication
Lecture Notes in Computer Science
Abbreviated Journal
Volume
Vol. 10125 LNCS
Issue
Pages
pp. 467-475
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
Approved
no
Call Number
gtsi @ user @
Serial
63
Permanent link to this record
Author
Juan A. Carvajal
;
Dennis G. Romero
;
Angel D. Sappa
Title
Fine-tuning based deep covolutional networks for lepidopterous genus recognition
Type
Conference Article
Year
2016
Publication
XXI IberoAmerican Congress on Pattern Recognition
Abbreviated Journal
Volume
Issue
Pages
1-9
Keywords
Abstract
This paper describes an image classication approach ori- ented to identify specimens of lepidopterous insects recognized at Ecuado- rian ecological reserves. This work seeks to contribute to studies in the area of biology about genus of butter ies and also to facilitate the reg- istration of unrecognized specimens. The proposed approach is based on the ne-tuning of three widely used pre-trained Convolutional Neural Networks (CNNs). This strategy is intended to overcome the reduced number of labeled images. Experimental results with a dataset labeled by expert biologists, is presented|a recognition accuracy above 92% is reached. 1 Introductio
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Summary Language
Original Title
Series Editor
Series Title
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Series Volume
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Notes
Approved
no
Call Number
cidis @ cidis @
Serial
53
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