Object points detection in a photogrammetric test field

H. B. Zhou

doi:10.1117/12.2294400

1 August 1990 Object points detection in a photogrammetric test field

H. B. Zhou

Proceedings Volume 1395, Close-Range Photogrammetry Meets Machine Vision; 13954D (1990) https://doi.org/10.1117/12.2294400
Event: Close-Range Photogrammetry Meets Machine Vision, 1990, Zurich, Switzerland

Abstract

Segmentation and detection of object points on non-textured surfaces are one of the basic image processing processes in some photogrammetric applications. In this paper, we approach this problem in two steps. 1). A local thresholding process is applied which detects local maximum contrast. From this we get a primary segmented binary image. 2). Several contour tracing and thinning processes followed which in the meantime remove noises and the traced circles whose perimeters lie outside an interactively given range. Thus almost all the object points are detected. The whole procedure can be controlled interactively based on certain a priori knowledge and application requirements. This approach has demonstrated good performance with application to images taken from the photogrammetric test field at the institute.

Citation Download Citation

H. B. Zhou "Object points detection in a photogrammetric test field", Proc. SPIE 1395, Close-Range Photogrammetry Meets Machine Vision, 13954D (1 August 1990); https://doi.org/10.1117/12.2294400

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