Multiscale structure extraction using morphological tools: applications to edge detection

F. Xavier Roca; Xavier Binefa; Jordi M. Vitria

doi:10.1117/12.146663

23 June 1993 Multiscale structure extraction using morphological tools: applications to edge detection

F. Xavier Roca, Xavier Binefa, Jordi M. Vitria

Proceedings Volume 2030, Image Algebra and Morphological Image Processing IV; (1993) https://doi.org/10.1117/12.146663
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

Human visual perception treats images at different resolution levels. Multiscale analysis tries to simulate this behavior by including the image in a mono-parametric family of images generated out of the first and called scale-space image. The purpose of multiscale analysis is to extract information from the original image features, studying their behavior through various scale levels. In a review of multiscale bibliography, one realizes that the two most studied features of the image are blobs and edges. This paper presents a new methodology, based on the use of tools provided by Mathematical Morphology, applied to scale-space image feature tracing. This methodology is here intended to solve two concrete problems: edge detection and depth perception of it.

Citation Download Citation

F. Xavier Roca, Xavier Binefa, and Jordi M. Vitria "Multiscale structure extraction using morphological tools: applications to edge detection", Proc. SPIE 2030, Image Algebra and Morphological Image Processing IV, (23 June 1993); https://doi.org/10.1117/12.146663

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