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Fast Evaluation of Segmentation Quality with Parallel Computing
Joint Authors
Cruz, Henry
Eckert, Martina
Meneses, Juan M.
Martínez, José-Fernán
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-21
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In digital image processing and computer vision, a fairly frequent task is the performance comparison of different algorithms on enormous image databases.
This task is usually time-consuming and tedious, such that any kind of tool to simplify this work is welcome.
To achieve an efficient and more practical handling of a normally tedious evaluation, we implemented the automatic detection system, with the help of MATLAB®’s Parallel Computing Toolbox™.
The key parts of the system have been parallelized to achieve simultaneous execution and analysis of segmentation algorithms on the one hand and the evaluation of detection accuracy for the nonforested regions, such as a study case, on the other hand.
As a positive side effect, CPU usage was reduced and processing time was significantly decreased by 68.54% compared to sequential processing (i.e., executing the system with each algorithm one by one).
American Psychological Association (APA)
Cruz, Henry& Eckert, Martina& Meneses, Juan M.& Martínez, José-Fernán. 2017. Fast Evaluation of Segmentation Quality with Parallel Computing. Scientific Programming،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1203445
Modern Language Association (MLA)
Cruz, Henry…[et al.]. Fast Evaluation of Segmentation Quality with Parallel Computing. Scientific Programming No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1203445
American Medical Association (AMA)
Cruz, Henry& Eckert, Martina& Meneses, Juan M.& Martínez, José-Fernán. Fast Evaluation of Segmentation Quality with Parallel Computing. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1203445
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203445