NDLI: Colour FAST (CFAST) match: fast affine template matching for colour images

Content Provider	IET Digital Library
Author	Jia, Di Cao, Jun Song, Wei dong Tang, Xiao liang Zhu, Hong
Abstract	Fast-match is a fast and effective algorithm for template matching. However, when matching colour images, the images are converted into greyscale images. The colour information is lost in this process, resulting in errors in areas with distinctive colours but similar greyscale values An improved fast-match algorithm that utilises all three RGB channels to construct colour sum-of-absolute-differences (CSAD) is proposed, thus improving the sum-of-absolute-differences distance used in fast-match. In this algorithm, each pixel in the image is categorised by clustering them using density-based spatial clustering of applications with noise (DBSCAN) algorithm over the RGB vector, then the number of pixels in each category and the cumulative RGB values for each RGB channel are calculated to identify the centroid of each category. The RGB vector centroid is used as the CSAD decision criteria, and inverse of number of pixels in each category is used as the differentiating coefficient to construct a new similarity measure. Experiment results demonstrate that this algorithm has significant higher accuracy for matching colour images than the original fast-match algorithm.
Starting Page	1220
Ending Page	1221
Page Count	2
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 14, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.1331
Journal	Electronics Letters
Publisher Date	2016-06-08
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra CFAST-match Colour Image Matching Colour Sum-of-absolute-differences Computer Vision And Image Processing Technique CSAD Decision Criteria Cumulative RGB Values Data Handling Technique DBSCAN Algorithm Density-based Spatial Clustering-of-applications-with-noise Fast Affine Template Matching Image Colour Analysis Image Matching Image Recognition Image Resolution Pattern Clustering RGB Channel RGB Vector Centroid Similarity Measure Vector
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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