Retinex Image Processing--Publications--SPIE 5438, Orlando, Florida
Conference
Impact of multi-scale retinex computation on performance of segmentation
algorithms
Zia-ur Rahman, Daniel J. Jobson, Glenn A. Woodell, Glenn Hines
Abstract
Classical segmentation algorithms subdivide an image into its
constituent components based upon some metric that defines commonality
between pixels. Often, these metrics incorporate some measure of
``activity" in the scene, e.g. the amount of detail that is in a region.
The Multiscale Retinex with Color Restoration (MSRCR) is a general
purpose, non-linear image enhancement algorithm that significantly
affects the brightness, contrast and sharpness within an image. In this
paper, we will analyze the impact the MSRCR has on segmentation
results and performance.
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