Friday, June 20, 2014

Segmentation using Edge Detection

There are certain differences between graphic design and natural images that affect the goal and hints for segmentation:




Graphic Design
Natural Image
Distinct segment boundaries
Frequent
Rare
Color consistency in segments
High
Low
Disjoint Elements
Many
Few



We realized that a mean-shift based segmentation algorithm does not produce appropriate results on graphic design.

We decided to try segmentation using edge detection. Two techniques are proposed for now.

1- Run an Edge-Detector; find connected components in edges and fill up the gaps

2- Run an Edge-Detector; find connected components in non-edge pixels and call each a super-pixel


Update: I tried a few types of edge detectors. The problem is these edge detectors are not designed to generate regions, they generate edges that are often disjoint.

Here are the outputs of edge detection:

https://dl.dropboxusercontent.com/u/20022261/reports/edge_detection.html

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