Title :
Gradient watersheds in morphological scale-space
Author :
Jackway, Paul T.
Author_Institution :
Res. Centre for Sensor Signal & Inf. Process., Queensland Univ., Brisbane, Qld., Australia
fDate :
6/1/1996 12:00:00 AM
Abstract :
After introducing several results relating to the modification of the homotopy of gradient functions based on extrema in the base image and building on earlier results in morphological scale-space, we introduce a scale-space monotonicity theorem for regions of an image defined by watersheds of a gradient function modified to retain only the local minima or maxima of its smoothed parent image. We then illustrate the theorem with an example of the scale-space extraction of texture features from the nuclei of cervical cells
Keywords :
feature extraction; functional analysis; image segmentation; image texture; mathematical morphology; medical image processing; base image extrema; cervical cells nuclei; gradient function; gradient functions; gradient watersheds; homotopy; image regions; local maxima; local minima; morphological scale space; scale-space extraction; scale-space monotonicity theorem; smoothed parent image; texture features; Electrokinetics; Feature extraction; Filtering; Filters; Gaussian processes; Helium; Image coding; Image segmentation; Smoothing methods; Surface morphology;
Journal_Title :
Image Processing, IEEE Transactions on