Novel histogram modification approach for medical image enhancement

Yongjian Bao

doi:10.1117/12.175113

11 May 1994 Novel histogram modification approach for medical image enhancement

Yongjian Bao

Proceedings Volume 2167, Medical Imaging 1994: Image Processing; (1994) https://doi.org/10.1117/12.175113
Event: Medical Imaging 1994, 1994, Newport Beach, CA, United States

Abstract

Adaptive histogram equalisation (AHE) has been successfully applied in medical image contrast enhancement for computer assistance in imaging diagnosis. To reduce the noise magnification effect it needs to clip the local histograms with a fixed factor, which however, also limits the contrast increment in useful signal regions. In this paper, a novel AHE algorithm has been developed to solve the dilemma by introducing a dynamic histogram clipping mechanism. In addition, we also propose a general algorithmic frame for the AHE method. The frame describes an AHE algorithm with three modules and thus allows the integration of various methods to these modules in the same environment.

Citation Download Citation

Yongjian Bao "Novel histogram modification approach for medical image enhancement", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); https://doi.org/10.1117/12.175113

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