Enhancing micro-organism images by estimating image background

Delong Liu, University of Rhode Island

Abstract

One- and two-dimensional techniques are proposed for enhancing micro-organism images using linear least-squares fitting, median filtering combined with bicubic approximation and wavelet filtering, respectively. The quality of enhanced images with pixel dimensions of 1200 x 1600 is examined from their corresponding binary images. It shows that one-dimensional modeling requires much less computation but provides relatively low quality output. On the other hand, the two-dimensional approximations for non-uniform lighting background, using both bicubic spline and wavelet filtering, are more effective and yield very high quality binary images tested with three different grayscale images. ^

Subject Area

Engineering, Chemical

Recommended Citation

Delong Liu, "Enhancing micro-organism images by estimating image background" (2001). Dissertations and Master's Theses (Campus Access). Paper AAI3025562.
http://digitalcommons.uri.edu/dissertations/AAI3025562

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