Iterated facet model approach to background normalization
Mariusz Jankowski · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
Background normalization is a low-level image processing task typically used to enhance images by eliminating featureless, nonuniform background illumination. Automatic background normalization requires three distinct steps: threshold selection and segmentation, reconstruction of background image, and subtraction. This paper presents a new region-based thresholding criterion for background identification and normalization. Experimental results will be presented.