Histogram as a measure of shape matching

Min Hyuk Chang; Kyung-Sik Seo; Hye-Jin Park; Jong-An Park

doi:10.1117/12.521596

28 May 2004 Histogram as a measure of shape matching

Min Hyuk Chang, Kyung-Sik Seo, Hye-Jin Park, Jong-An Park

Proceedings Volume 5298, Image Processing: Algorithms and Systems III; (2004) https://doi.org/10.1117/12.521596
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

This paper describes a new shape matching using image projection features. The corners are located in the binary image using the radius vector function. The imaginary line joining any two corners is called the baseline, if the distance between those two corners is the maximum. The image is rotated to align the baseline with the reference axis. Horizontal and vertical projections of the rotated image are drawn. The projections are matched with the projections of the database images using the sorted normalized matching algorithm. The algorithm is tested on various test images.

Citation Download Citation

Min Hyuk Chang, Kyung-Sik Seo, Hye-Jin Park, and Jong-An Park "Histogram as a measure of shape matching", Proc. SPIE 5298, Image Processing: Algorithms and Systems III, (28 May 2004); https://doi.org/10.1117/12.521596

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available