Novel approaches in morphological correlations

David Mendlovic; Amir Shemer; Zeev Zalevsky; Emanuel Marom; Gal Shabtay

doi:10.1117/12.312784

2 July 1998 Novel approaches in morphological correlations

David Mendlovic, Amir Shemer, Zeev Zalevsky, Emanuel Marom, Gal Shabtay

Proceedings Volume 3405, ROMOPTO '97: Fifth Conference on Optics; (1998) https://doi.org/10.1117/12.312784
Event: ROMOPTO '97: Fifth Conference on Optics, 1997, Bucharest, Romania

Abstract

Morphological correlation is a novel method for obtaining high discrimination ability in pattern recognition applications. It provides also important abilities for image compression and image analysis. The concept is based on slicing the input image and the reference filter into many binary slices, e.g. 255, and correlating them. The morphological correlation is defined as the summation of these correlations. The morphological correlation is characterized by a sharp correlation peak narrower than that exhibited by matched filter. The disadvantages are the requirements of performing many correlations and its very high sensitivity to noise added to the reference image. In this presentation we suggest two methods to solve both drawbacks. First, instead of 255 correlations we suggest to utilize only 8, by representing the grey level of each pixel by its 8 bit binary representation. Then, 8 binary masks are constructed according to the binary representation. In order to address the problem of severe sensitivity to noise, we suggest to sum the 255 correlations of the morphology slices while each slice is multiplied by a weighting factor which equals the correlation peak of that specific slice with noise divided by its correlation peak value when no noise is added. The solutions suggested here were examined by computer simulations demonstrating considerable improvements in the performance of the morphological correlator.

Citation Download Citation

David Mendlovic, Amir Shemer, Zeev Zalevsky, Emanuel Marom, and Gal Shabtay "Novel approaches in morphological correlations", Proc. SPIE 3405, ROMOPTO '97: Fifth Conference on Optics, (2 July 1998); https://doi.org/10.1117/12.312784

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Binary data

Signal to noise ratio

Computer simulations

Pattern recognition

Optical correlators

Image filtering

Control systems

Show All Keywords

Keywords/Phrases

Search In:

Publication Years