Share Email Print
cover

Proceedings Paper

Improved algorithm for scanned blueprint image preprocessing and enhancing
Author(s): Yubin Shao; Zhang Qi; Shaowen Yao
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

It is an important task for blueprint images on paper to be computerized in architecture, platting and mechanical engineering. In this paper, the intrinsic characteristics of blueprints are carefully examined, and a mathematical method is developed to measure the quality of a digitized blueprint image. Based on the method of lines and blocks primary identification and local area soft boundary brightness and contrast equalization, a new image preprocessing and enhancing algorithm is developed, which can greatly reduce the grainy noises and enhance the lines and blocks information comparing with the traditional processing method, and a high quality image can be offered to the image vectorization processing phase.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441497
Show Author Affiliations
Yubin Shao, Kunming Univ. of Science and Technology (China)
Zhang Qi, Kunming Institute of Physics (China)
Shaowen Yao, Kunming Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis

© SPIE. Terms of Use
Back to Top