the image(s) to analyse
the width of the image
the height of the image
the threshold for blob detection between zero and one
size of "border" to put around input matrices. If greater than zero, a border of that size is created internally, filled with the threshold value
the height of the image
the image(s) to analyse
Abstract method which must be implemented by creating the actual UGen
s
during expansion.
size of "border" to put around input matrices.
size of "border" to put around input matrices. If greater than zero, a border of that size is created internally, filled with the threshold value
the threshold for blob detection between zero and one
the width of the image
A blob detection UGen. It is based on the meta-balls algorithm by Julien Gachadoat (http://www.v3ga.net/processing/BlobDetection/).
Currently, we output four channels: - 0 -
numBlobs
- flushes for each window one element with the number of blobs detected - 1 -bounds
- quadruplets ofxMin
,xMax
,yMin
,yMax
- for each blob - 2 -numVertices
- the number of vertices (contour coordinates) for each blob - 3 -vertices
- tuples ofx
andy
for the vertices of each blobthe image(s) to analyse
the width of the image
the height of the image
the threshold for blob detection between zero and one
size of "border" to put around input matrices. If greater than zero, a border of that size is created internally, filled with the threshold value