Detection of the number of image regions by minimum bias/variance criterion

Yue Joseph Wang; Tianhu Lei; Joel M. Morris

doi:10.1117/12.185958

16 September 1994 Detection of the number of image regions by minimum bias/variance criterion

Yue Joseph Wang, Tianhu Lei, Joel M. Morris

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185958
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

An unsupervised stochastic model-based image analysis technique requires the model parameters to be estimated directly from the observed image. A new approach is presented to the problem of detecting the number of statistically distinct regions in an image, based on the application of a new information theoretic criterion called minimum bias/variance criterion (MBVC). Different from the conventional approximation and coding based approaches introduced by Akaike and by Rissanen, the new criterion is to reformulate the problem explicitly as a problem of model bias and variance balancing in which the number of image regions is obtained merely by minimizing the MBVC value. Simulation results that illustrate the performance of the new method for the detection of the number of regions in an image are presented with both synthetic and medical images.

Citation Download Citation

Yue Joseph Wang, Tianhu Lei, and Joel M. Morris "Detection of the number of image regions by minimum bias/variance criterion", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185958

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