detecting each object in overlapped condition

asked 2015-01-06 03:28:28 -0600

jamesnzt gravatar image

I have to segment a particular leaf which is fully available in the image (i.e. The leaf above in the overlapped leaves).

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i segmented the background and i tried watershed segmentation but the output contains both the leaf

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is there any alternate method i can used to obtain a single leaf?

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Comments

1

I would go for shape based matching in a multiscale approach. That will do the trick for you! Or you could train a leaf based model and then start a MSER approach from the leaf centers until the edges.

StevenPuttemans gravatar imageStevenPuttemans ( 2015-01-06 05:42:48 -0600 )edit

In my opinion is very hard to distinguish (visually) the leaf on the right from the one behind it...

thdrksdfthmn gravatar imagethdrksdfthmn ( 2015-01-06 09:11:18 -0600 )edit
1

How did you get the centroids?

thdrksdfthmn gravatar imagethdrksdfthmn ( 2015-01-23 06:14:59 -0600 )edit

Too bad that 75% of the posters here leave without leaving a single response :D

StevenPuttemans gravatar imageStevenPuttemans ( 2015-01-23 06:16:02 -0600 )edit

I just followed the steps in the link and obtained the above result. i didn't find the centroids.

jamesnzt gravatar imagejamesnzt ( 2015-01-26 23:17:48 -0600 )edit

Have you done it in Matlab or how did you do the reconstruction?

thdrksdfthmn gravatar imagethdrksdfthmn ( 2015-01-27 07:58:30 -0600 )edit

Might want to try this approach

  1. Make a nerve detector - which are very clear straight lines and smaller than all edges. Hough lines could be a way of retrieving them.
  2. Do a region growing based on those locations or just take the center, which will also be the center of the leaf.
StevenPuttemans gravatar imageStevenPuttemans ( 2015-01-27 08:22:09 -0600 )edit
2

@thdrksdfthmn I done it in openCV. i just converted the steps in that documentation in to openCV codings. I just paintes the watershed as in code

jamesnzt gravatar imagejamesnzt ( 2015-01-29 23:52:40 -0600 )edit
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