Some Important Issues
Then we can conclude several important issues about region growing：
1.The suitable selection of seed points is important.
The selection of seed points is depending on the users. For example, in a gray-level lightning image, we may want to segment the lightning from the background. Then probably, we can examine the histogram and choose the seed points from the highest range of it.
2.More information of the image is better.
Obviously, the connectivity or pixel adjacent information is helpful for us to determine the threshold and seed points.
3.The value, “minimum area threshold”.
No region in region growing method result will be smaller than this threshold in the segmented image.
4.The value, “Similarity threshold value“.
If the difference of pixel-value or the difference value of average gray level of a set of pixels less than “Similarity threshold value”, the regions will be considered as a same region.
The criteria of similarities or so called homogeneity we choose are also important. It usually depends on the original image and the segmentation result we want.
Here are some criteria we often use：Gray level(average intensity or variance), color, and texture or shape.
Read more about this topic: Region Growing
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