| Commit | Date | |
|---|---|---|
|
[r574]
by
ltilib
alvarado: @ADD: The lti::multiclassNormalizedCuts functor implements the k-class normalized cuts algorithms used to optimally split a graph into k disconnected subgraphs proposed by Stella Yu in her Ph.D thesis. It requires as input the affinity matrix, which encodes the similarity between two nodes and returns a labels vector, which contains the label assignments for each node. |
2003-10-21 04:03:20 | Tree |
| 2003-10-21 04:03:11 | Tree | |
| 2003-10-21 04:02:59 | Tree | |
| 2003-10-21 04:02:50 | Tree | |
|
[r570]
by
ltilib
alvarado: @ADD: The edge detection algorithm of Gevers and Stokman has been implemented (lti::colorEdgesGS), which is capable to classify the edges in shadow, highlight or material edges. Is not as fast as lti::cannyEdges for color images, but the categorization of edges can be useful in those applications where the algorithm works. |
2003-10-21 04:02:39 | Tree |
| 2003-10-21 04:02:19 | Tree | |
| 2003-10-21 04:02:10 | Tree | |
|
[r567]
by
ltilib
doerfler: @ADD: DBScan is a graph-based clustering algorithm. The number of clusters is dependent on a threshold and clusters are not neccessarily compact. |
2003-10-21 04:01:56 | Tree |
|
[r566]
by
ltilib
alvarado: @ADD: The separable kernels (lti::sepKernel<T>) now have also a method apply() to apply a C-like function to each one of its elements. |
2003-10-20 10:04:16 | Tree |
|
[r565]
by
ltilib
alvarado: @ADD: The lti::colorContrastGradient functor now provides an apply method to get the gradient of a single channel. |
2003-10-20 10:04:03 | Tree |