Watershed-based maximum-homogeneity filtering

Author

Hansen, Michael W. ; Higgins, William E.

Author_Institution

Sarnoff Corp., Princeton, NJ, USA

Volume

8

Issue

7

fYear

1999

fDate

7/1/1999 12:00:00 AM

Firstpage

982

Lastpage

988

Abstract

We introduce an image enhancement method referred to as the watershed-based maximum-homogeneity filter. This method first uses watershed analysis to subdivide the image into homogeneous pixel clusters called catchment basins. Next, using an adaptive, local, catchment-basin selection scheme, similar neighboring catchment basins are combined together to produce an enhanced image. Because the method starts with watershed analysis, it can preserve edge information and run with high computational efficiency. Illustrative results show that the method performs well relative to other popular nonlinear filters

Keywords

image enhancement; image segmentation; nonlinear filters; adaptive local catchment-basin selection scheme; catchment basins; computational efficiency; edge information; enhanced image; homogeneous pixel clusters; image enhancement method; neighboring catchment basins; watershed analysis; watershed-based maximum-homogeneity filtering; Adaptive filters; Computational efficiency; Filtering; Image analysis; Image edge detection; Image enhancement; Image segmentation; Information analysis; Nonlinear filters; Pixel;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.772247

Filename

772247