Image segmentation using thick-fluid watersheds

Rui Pires; Patrick De Smet; Johan De Bock; Wilfried Philips

doi:10.1117/12.587611

14 March 2005 Image segmentation using thick-fluid watersheds

Rui Pires, Patrick De Smet, Johan De Bock, Wilfried Philips

Proceedings Volume 5685, Image and Video Communications and Processing 2005; (2005) https://doi.org/10.1117/12.587611
Event: Electronic Imaging 2005, 2005, San Jose, California, United States

Abstract

Traditional watershed and marker-based image segmentation algorithms are very sensitive to noise. The main reason for this is that these segmentation algorithms are locally dependent on some type of edge indicator input image that is traditionally computed on a pixel-by-pixel basis. Additionally, as a result of raw watershed segmentation, the original image can be seriously oversegmented, and it may be difficult to reduce the oversegmentation and the impact of noise without also inducing several undesired region merges. This last problem is a typical result of local "edge gaps" that may appear along the topographic watershed mountain rims. Through these gaps the marker or watershed labels can easily leak into neighboring segments. We propose a novel pair of algorithms that uses "thick fluid" label propagation in order to try and solve these problems. The thick fluid technique is based on considering information from multiple adjacent pixels along the topographic watershed mountain rims that separate the different objects in an initial pre-segmented image.

Citation Download Citation

Rui Pires, Patrick De Smet, Johan De Bock, and Wilfried Philips "Image segmentation using thick-fluid watersheds", Proc. SPIE 5685, Image and Video Communications and Processing 2005, (14 March 2005); https://doi.org/10.1117/12.587611

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