3-D Object Representation In Imaging Systems

G. A. Laub; G. Lenz; E. R. Reinhardt

doi:10.1117/12.946202

17 January 1985 3-D Object Representation In Imaging Systems

G. A. Laub, G. Lenz, E. R. Reinhardt

Proceedings Volume 0521, Intelligent Robots and Computer Vision; (1985) https://doi.org/10.1117/12.946202
Event: 1984 Cambridge Symposium, 1984, Cambridge, United States

Abstract

In image-forming optical systems the image of a three-dimensional object consists of a superposition of focused and defocused object layers. For a quantitative evaluation of the object it is necessary to decompose the superposition image into different images corresponding to single object layers. For this purpose the object radiation is measured with different optical transfer functions of the imaging system, for example by simply changing the focus plane. Each image contains focused and defocused parts of the object and can be described as a linear equation of the object layers, assuming linear space-invariant, imaging properties. From these images the real object distribution can be calculated by the evaluation of the resulting linear system of equations in the Fourier domain. Due to noise in the detected images it is only possible to get an estimate of the true object distribution. In our case this estimate is based on an integral minimal mean square error in the reconstructed object. The algorithm is presented and demonstrated by simulation experiments and reconstructions of real human cell images in optical microscopy.

Citation Download Citation

G. A. Laub, G. Lenz, and E. R. Reinhardt "3-D Object Representation In Imaging Systems", Proc. SPIE 0521, Intelligent Robots and Computer Vision, (17 January 1985); https://doi.org/10.1117/12.946202

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