Feature Extraction From Intensity Images

C. L. Huang; J. T. Tou

doi:10.1117/12.976492

13 October 1987 Feature Extraction From Intensity Images

C. L. Huang, J. T. Tou

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976492
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

This paper presents a new method to obtain the features from intensity images by making use of an improved Hough Transform. Through image preprocessing, the intensity image can be converted to a boundary image. A new approach is proposed to find the linear and elliptical features embedded in the boundary image on which there are discon-nectivities and the distortion that are caused either by occlusion or by noise. The Hough transform method is improved to recognize those features with less computation effort and more accuracy.

Citation Download Citation

C. L. Huang and J. T. Tou "Feature Extraction From Intensity Images", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976492

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