Line sketch extraction using the Hough transform

Raashid Malik; Moon Won Choo

doi:10.1117/12.222712

3 October 1995 Line sketch extraction using the Hough transform

Raashid Malik, Moon Won Choo

Proceedings Volume 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling; (1995) https://doi.org/10.1117/12.222712
Event: Photonics East '95, 1995, Philadelphia, PA, United States

Abstract

Reliable schemes for line sketch extraction from gray scale images are investigated. It is often possible to recognize polyhedral objects in an image by capturing the linear features in the image and analyzing corner points. A line sketch is extracted from a gray scale image using the Hough transform (HT). The pixel points with their gradient directions and magnitudes are properly used for deciding the value of accumulation in Hough space. This leads to significant computational savings and robust results. The research presented in this report is concerned with utilizing HT and its derivatives to detect linear feature in images and constructing line sketches for higher level processing such as image representation, description and coding.

Citation Download Citation

Raashid Malik and Moon Won Choo "Line sketch extraction using the Hough transform", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222712

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