Abstract
We introduce an image enhancement method referred to as watershed-based maximum homogeneity filtering. This enhancement technique uses watershed analysis to initially cluster groups of similar connected pixels into catchment basins. Similar neighboring catchment basins are then averaged together to compute the filtered image. As illustrative results show, this technique compares well to other popular nonlinear filters.
| Original language | English (US) |
|---|---|
| Pages | 482-485 |
| Number of pages | 4 |
| State | Published - 1996 |
| Event | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) - Washington, DC, USA Duration: Oct 23 1995 → Oct 26 1995 |
Other
| Other | Proceedings of the 1995 IEEE International Conference on Image Processing. Part 3 (of 3) |
|---|---|
| City | Washington, DC, USA |
| Period | 10/23/95 → 10/26/95 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering