Hough transform for robust segmentation of underwater multispectral images

Francisco J. Rivera-Maldonado; Raul E. Torres-Muniz; Luis O. Jimenez-Rodriguez

doi:10.1117/12.485919

23 September 2003 Hough transform for robust segmentation of underwater multispectral images

Francisco J. Rivera-Maldonado; Raul E. Torres-Muniz; Luis O. Jimenez-Rodriguez

Author Affiliations +

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.485919
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

A segmentation algorithm for underwater multispectral images based on the Hough transform (HT) is presented. The segmentation algorithm consists of three stages: The first stage consists in computing the HT of the original image and segmenting the desired object in its boundary. The HT has several known challenges such as the end point (infinite lines) and the connectivity problem, which lead to false contours. Most of these problems are canceled over the next two stages. The second stage starts by clustering the original image. Fuzzy C-means clustering segmentation technique is used to capture the local properties of the desired object. In the third stage, the edges of the clustering segmentation are extended to the closest HT detected lines. The boundary information (HT) and local properties (Fuzzy C-means) of the desired object are fused together and false contours are eliminated. The performance of the segmentation algorithm is demonstrated in underwater multispectral images generated in laboratory containing known objects of varying size and shape.

Citation Download Citation

Francisco J. Rivera-Maldonado, Francisco J. Rivera-Maldonado, Raul E. Torres-Muniz, Raul E. Torres-Muniz, Luis O. Jimenez-Rodriguez, Luis O. Jimenez-Rodriguez, } "Hough transform for robust segmentation of underwater multispectral images", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); doi: 10.1117/12.485919; https://doi.org/10.1117/12.485919

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years