Adapted normalized graph cut segmentation with boundary fuzzy classifier object indexing on road satellite images
Joint Authors
Prabhu, Singaravelu
Tensing, Dharmaraj
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 5 (30 Sep. 2015)7 p.
Publisher
Publication Date
2015-09-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Image segmentation is an essential component of the remote sensing, image inspection, classification and pattern identification.
The road satellite image categorization points a momentous tool for the assessment of images.
In the present work, the researchers have evaluated the computer vision techniques for instance segmentation, and knowledge based techniques for categorization of high-resolution descriptions.
For sorting of the road satellite images, the technique named Adapted normalized Graph cut Segmentation with Boundary Fuzzy classifier object Indexing (AGSBFI) is introduced.
Initially, the road satellite image is segmented to have inverse determination of shapes using adapted normalized graph cut segmentation method.
The features of the segmented area are extracted and then classification of unknown boundary is carried out using boundary fuzzy classifier.
Finally the classified images are then recognized based on the location using the arbitrary object indexing scheme.
Performance of AGSBFI technique is measured in terms of classification efficiency and objects recognition accuracy with better results.
AGSBFI considers the problem of inverse determination of unknown shape, boundary and location in the existing method.
An analytical and empirical result shows the better object recognition accuracy with inverse determination of shape, boundary and location of road satellite images.
American Psychological Association (APA)
Prabhu, Singaravelu& Tensing, Dharmaraj. 2015. Adapted normalized graph cut segmentation with boundary fuzzy classifier object indexing on road satellite images. The International Arab Journal of Information Technology،Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430989
Modern Language Association (MLA)
Prabhu, Singaravelu& Tensing, Dharmaraj. Adapted normalized graph cut segmentation with boundary fuzzy classifier object indexing on road satellite images. The International Arab Journal of Information Technology Vol. 12, no. 5 (Sep. 2015).
https://search.emarefa.net/detail/BIM-430989
American Medical Association (AMA)
Prabhu, Singaravelu& Tensing, Dharmaraj. Adapted normalized graph cut segmentation with boundary fuzzy classifier object indexing on road satellite images. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 5.
https://search.emarefa.net/detail/BIM-430989
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-430989