Fast watershed aided by target detection

Huibao Lin; Jennie Si; Glen P. Abousleman

doi:10.1117/12.470102

7 June 2002 Fast watershed aided by target detection

Huibao Lin, Jennie Si, Glen P. Abousleman

Proceedings Volume 4735, Hybrid Image and Signal Processing VIII; (2002) https://doi.org/10.1117/12.470102
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

The Watershed algorithm has been studied extensively, and has been applied to image segmentation due to its accuracy and robustness. However, the watershed requires a large amount of memory, and is computationally intractable for segmenting large images. In this paper, we introduce a novel hierarchical region-of-interest (ROI) detection scheme, which is used as a prelude to segmentation. With the help of the detection algorithm, watershed segmentation can be applied to the small detected regions, rather than to the entire image. Therefore, it can process large images by selectively segmenting ROIs. We focus on our new ROI detection algorithm, and how it is integrated into a system for large-image segmentation. We demonstrate the efficiency of the proposed scheme by processing a variety of images.

Citation Download Citation

Huibao Lin, Jennie Si, and Glen P. Abousleman "Fast watershed aided by target detection", Proc. SPIE 4735, Hybrid Image and Signal Processing VIII, (7 June 2002); https://doi.org/10.1117/12.470102

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