From 27f2832de82e194040a7ea1f0197653d42f2b511 Mon Sep 17 00:00:00 2001 From: Julien Lengrand-Lambert Date: Mon, 28 Nov 2011 23:46:44 +0100 Subject: [PATCH] Corrected error in examples. Tippy is now reached. Signed-off-by: Julien Lengrand-Lambert --- tippy/examples/region_growing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tippy/examples/region_growing.py b/tippy/examples/region_growing.py index c5dd4d1..581b0d7 100644 --- a/tippy/examples/region_growing.py +++ b/tippy/examples/region_growing.py @@ -8,7 +8,7 @@ Here is a simple example of (simple) Region Growing algorithm in Python. A word about region growing (taken from Wikipedia), and this implementation : "Region growing is a simple region-based image segmentation method. It is also classified as a pixel-based image segmentation method since it involves the selection of initial seed points. -This approach to segmentation examines neighboring pixels of initial “seed points” and determines whether the pixel neighbors should be added to the region. The process is iterated on, in the same manner as general data clustering algorithms" +This approach to segmentation examines neighboring pixels of initial "seed points" and determines whether the pixel neighbors should be added to the region. The process is iterated on, in the same manner as general data clustering algorithms" Basically, region growing is an iterative method used to extract similar parts of an image. One or several points are chosen as a start. The region then grows until it is finally blocked by the stop criteria. This criteria is generally an inside/outside region comparison (energy, size, . . .). Region growing is massively used in medical imaging, and object detection. Here is an example of application in automatic Mine Hunting, which I worked with last year at TNO.