Suppression of inhomogeneities in images of textured surfaces

Juergen Beyerer; Fernando Puente Leon

doi:10.1117/1.601602

1 January 1997 Suppression of inhomogeneities in images of textured surfaces

Juergen Beyerer, Fernando Puente Leon

Optical Engineering, Vol. 36, Issue 1, (January 1997). https://doi.org/10.1117/1.601602

Automated visual inspection tasks are frequently concerned with the examination of homogeneously textured surfaces such as fabrics, wallpapers, machined surfaces, and floorcoverings. Often, the images taken from such surfaces are degraded by an intensity inhomogeneity due to the image acquisition process. This inhomogeneity is considered to be an irrelevant and disturbing signal component, which should be suppressed to enhance the desired texture component and to ease a subsequent texture analysis. We show that, especially for textured surfaces, it is not always reasonable to assume a pure multiplicative composition of the texture signal and a disturbing inhomogeneity. We introduce a notion of homogeneity of n’th degree based on first-order statistics and present image processing methods for the homogenization of first, second, and infinite degree. For the homogenization of second degree, we propose a computationally efficient frequency domain signal processing method with high homogenization performance and low nonlinear distortion. Furthermore, we suggest a high-performance homogenization of the infinite-degree technique that equates the local histograms to a global histogram, which is adapted to the given image data. We compare the proposed homogenization methods visually and quantitatively with the well-known homomorphic filtering technique, which assumes a pure multiplicative inhomogeneity. We demonstrate that our methods achieve much better results for synthetic as well as for realistic images of textured surfaces.

Citation Download Citation

Juergen Beyerer and Fernando Puente Leon "Suppression of inhomogeneities in images of textured surfaces," Optical Engineering 36(1), (1 January 1997). https://doi.org/10.1117/1.601602

Published: 1 January 1997

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