Abstract
We present in this work an image process technique that we call facilitatory effect. This technique is a multiplicative mechanism which improves the response of a previous process. It is based on a statistical process computing averages and variances This technique is an invariant process to noise and to illumination changes. It is also concluded that this technique is a type of generalized high pass filter since image areas with high grey variations are contrasted. We present results of this technique for a practical case of defects detection in leather.
Preview
Unable to display preview. Download preview PDF.
References
Candela, S., Muñoz, J., Alayon, F., Garcia C. “Un Sistema de Visión para la detección de defectos”. Actas de Panel'92 p. 240–247. Las Palmas de G. Canaria. 1992. Universidad de Las Palmas de Gran Canaria
Pichler, F. “Compuetr Aided System Theory: A Framework for Interactive Method Banks”. Cybernetics and Systems 88 (ed. R. Trappl) KluwerAcademic Publishers Dordrecht, The Netherlands, 1988 pp 731–736.
Moreno-Diaz, R. “Natural and Artificial Neural Nets”. AIWAN, opening lecture. Granada Sept. 1991.
Rao, K., Ahmed, N. Orthogonal Transforms for Digital Signal Processing. IEEE International Conference on Acustics, Speech and Signal Processing P 136–40, 1976.
Haralick, R. Statistical and Structural Approaches to Texture. Proccedings of the IEEE, vol 67, no 5, May 1979.
Candela, S. Transformaciones de Campo Receptivo Variable en Proceso de Imagenes y Vision Artificial. Tesis Doctoral. Nov 1987.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1993 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Candela, S., García, C., Muñoz, J., Alayon, F. (1993). Facilitatory process for contrast detection. In: Mařík, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_64
Download citation
DOI: https://doi.org/10.1007/3-540-57234-1_64
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-57234-3
Online ISBN: 978-3-540-47982-6
eBook Packages: Springer Book Archive