python - Region Growing Algorithm - Stack Overflow
stackoverflow.com › questions › 5851266May 02, 2011 · Basic region growing, in pseudocode looks something like: seed_point // starting point visited // boolean array/matrix, same size as image point_queue // empty queue point_queue.enqueue( seed_point ) visited( seed_point ) = true while( point_queue is not empty ) { this_point = point_queue.dequeue() for each neighbour of this_point { if not visited( neighbour ) and neighbour is black/red ...
Region Growing - University of Nevada, Reno
www.cse.unr.edu › CS791E › Notesering the neighbors of the region (i.e., to avoid outliers). C(k) i =[(x, y): ( g(x, y) −f (x, y, a, m))2 < and (x, y) is a4 −neigh-bor ofR(k) i] (4) If there were no compatible points, thenm =m +1.If m > M,donot grow R(k) i further; otherwise, go to step 3. (5) Form the newregion R(k+1) i =R (k) i ∪C (k) i,refit the model toR (k+1) i,and compute E(R(k+1) i, a, m)
Region growing - Wikipedia
https://en.wikipedia.org/wiki/Region_growingRegion 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 clusteringalgorithms. A general discussion of the region growing algorit…
Region growing segmentation — Point Cloud Library 0.0 ...
pcl.readthedocs.io › projects › tutorialsRegion growing segmentation. In this tutorial we will learn how to use the region growing algorithm implemented in the pcl::RegionGrowing class. The purpose of the said algorithm is to merge the points that are close enough in terms of the smoothness constraint. Thereby, the output of this algorithm is the set of clusters, where each cluster is a set of points that are considered to be a part of the same smooth surface.