Automatic edge thresholding algorithm

Amar Aggoun; Ahmed El-Mabrouk

doi:10.1117/12.295627

22 December 1997 Automatic edge thresholding algorithm

Amar Aggoun, Ahmed El-Mabrouk

Proceedings Volume 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing; (1997) https://doi.org/10.1117/12.295627
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

An automatic edge thresholding approach, based on investigation of local histograms of small nonoverlapping blocks of the quantized edge magnitude, is proposed. The edge magnitude is first quantized then divided into small nonoverlapping blocks. A threshold for each block is chosen using an iterative procedure. In this paper the effect of the choice of the quantizer is investigated using a quantitative measure. The performance of three quantizers is studied and compared to the result obtained without quantization of the gradient image and to previously reported method for automatic threshold selection for edge detection.

Citation Download Citation

Amar Aggoun and Ahmed El-Mabrouk "Automatic edge thresholding algorithm", Proc. SPIE 3217, Image Processing, Signal Processing, and Synthetic Aperture Radar for Remote Sensing, (22 December 1997); https://doi.org/10.1117/12.295627

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