Recognition Of Complex Graphical Objects

P. Puliti; G. Tascini

doi:10.1117/12.950279

2 March 1989 Recognition Of Complex Graphical Objects

P. Puliti, G. Tascini

Proceedings Volume 1027, Image Processing II; (1989) https://doi.org/10.1117/12.950279
Event: 1988 International Congress on Optical Science and Engineering, 1988, Hamburg, Germany

Abstract

The aim of the paper is twofold: firstly defining a method for object extraction from gray-level graphical images; secondly recognizing graphical objects in order to return an automatic description of a given complex drawing. The segmentation uses an histogram mode clustering, which groups the pixels by gray-level intensity in order to define a series of thresholds. A multithreshold method is developed to insert local properties in the multimodal hystogram and to realize an automatic threshold selection. The automatic detection of gray-level images, representing technical drawing, may be simplified by some given drawing criteria. In order to recognize the graphical objects a gool-driven approach is adopted. A structural model is then defined in which the domain knowledge is represented by a semantic network. Finally the semantic network knowledge is used to recognize part or set of parts of a technical drawing, according to a given strategy.

Citation Download Citation

P. Puliti and G. Tascini "Recognition Of Complex Graphical Objects", Proc. SPIE 1027, Image Processing II, (2 March 1989); https://doi.org/10.1117/12.950279

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image processing

Visual process modeling

Image segmentation

Computing systems

Machine vision

Object recognition

Computer vision technology

Show All Keywords

Keywords/Phrases

Search In:

Publication Years