Difference between revisions of "Publications/crozet.14.icip.inc"

From LRDE

Line 19: Line 19:
 
|-
 
|-
 
| [[File:Crozet14icip_Introplane.png|300px|x]]
 
| [[File:Crozet14icip_Introplane.png|300px|x]]
| [[File:Crozet14icip_Introplanehierarchy.png|300px‎|x]]
+
| [[File:Crozet14icip_Introplanehierarchy.png|thumb|300px‎|x]]
 
|-
 
|-
 
! colspan="2" | (d) Hierarchical Segmentation (saliency-based).
 
! colspan="2" | (d) Hierarchical Segmentation (saliency-based).
 
|-
 
|-
 
| [[File:Crozet14icip_Introplanesegmentationfine.png|300px|x]]
 
| [[File:Crozet14icip_Introplanesegmentationfine.png|300px|x]]
| [[File:Crozet14icip_Introplanesegmentationcoarse.png|300px‎|x]]
+
| [[File:Crozet14icip_Introplanesegmentationcoarse.png|thumb|300px‎|x]]
 
|-
 
|-
 
! colspan="2" | (d') Hierarchical Segmentation (saliency-based).
 
! colspan="2" | (d') Hierarchical Segmentation (saliency-based).

Revision as of 12:20, 18 February 2014

Figures

x x‎
(a) Denoising (self-dual grain removal).
x x
(b) Shape Filtering (keep round objects).
x x
(c) Object Detection (energy-based method).
x
x
(d) Hierarchical Segmentation (saliency-based).
x
x
(d') Hierarchical Segmentation (saliency-based).

Fig. 1: Sample uses of the tree of shapes (left column: input images; right column: state-of-the-art results).


Crozet14icip simpleimage.png Crozet14icip simpletos.png
(a) Image (b) Tree of shapes

Fig. 2


Images

Images used for the benchmarks: [1]

Code

  • Code of the serial version: [2]
  • Code of the parallel version: [3]
  • Code of the milena image processing library: [4]