The Library
Image matching based on the co-occurrence matrix
Tools
Hseu, Hsing-Wen, Bhalerao, Abhir and Wilson, Roland (1999) Image matching based on the co-occurrence matrix. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
|
PDF (Department of Computer Science Research Report)
WRAP_cs-rr-358.pdf - Other - Requires a PDF viewer. Download (339Kb) | Preview |
Abstract
In this work, the Gray Level Co-occurrence Matrices (GLCM) and cross-correlation are compared in an image matching process. First, three images are generated in different noise environments to simulate the images being derived from different sensors. Then, a Laplacian Pyramid is used as a high-pass filter. Finally, correlation of GLCM and cross-correlation are compared. Mutual information(MI) of GLCM is also included to evaluate the framework of the GLCM.
Item Type: | Report | ||||
---|---|---|---|---|---|
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques | ||||
Series Name: | Department of Computer Science research report | ||||
Publisher: | University of Warwick. Department of Computer Science | ||||
Official Date: | 17 March 1999 | ||||
Dates: |
|
||||
Number: | Number 358 | ||||
Number of Pages: | 22 | ||||
DOI: | CS-RR-358 | ||||
Institution: | University of Warwick | ||||
Theses Department: | Department of Computer Science | ||||
Status: | Not Peer Reviewed | ||||
Publication Status: | Unpublished | ||||
Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year