Woolz Image Processing
Version 1.7.5
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Functions to compute the Hausdorff distance, mean nearest neighbour and the median nearest neighbour distances between two datasets. More...
Functions | |
WlzErrorNum | WlzDistMetricGM (WlzGMModel *model0, WlzGMModel *model1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the Hausdorff, mean nearest neighbour, median nearest neighbour and minimum nearest neighbour distances between the vertices of the given geometric models. See WlzDistMetricVertex2D() for details of the metrics. More... | |
WlzErrorNum | WlzDistMetricDirGM (WlzGMModel *model0, WlzGMModel *model1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the directed Hausdorff, mean nearest neighbour, median nearest neighbour and minimum nearest neighbour distances between the vertices of the given geometric models. See WlzDistMetricDirVertex2D() for details of the metrics. More... | |
WlzErrorNum | WlzDistMetricVertex2D (int n0, WlzDVertex2 *vx0, int n1, WlzDVertex2 *vx1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the Hausdorff, mean nearest neighbour, median nearest neighbour and minimum nearest neighbour distances between the given sets of vertices. Each of these distance measures is the maximum of the two possible directed measures: \[ D = \max{(d(A,B), d(B,A))} \] Where \(D\) is a non-directed distance metric and \(d\) is the associated directed distance metric. \(A\) and \(B\) are the two datasets. More... | |
WlzErrorNum | WlzDistMetricVertex3D (int n0, WlzDVertex3 *vx0, int n1, WlzDVertex3 *vx1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the Hausdorff, mean nearest neighbour, median nearest neighbour and minimum nearest neighbour distances between the given sets of vertices. See WlzDistMetricVertex2D() for an explaination of the distance metrics. More... | |
WlzErrorNum | WlzDistMetricDirVertex2D (int n0, WlzDVertex2 *vx0, int n1, WlzDVertex2 *vx1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the directed Hausdorff, mean nearest neighbour, median nearest neighbour and minimum mean neighbour distances between the given sets of vertices. The directed Hausdorff distance metric is: \[ \max_{a \in A}{\min_{b \in B}{\|a - b\|}} \] The directed mean nearest neighbour distance metric is: \[ \frac{1}{n_a} \sum_{a \in A}{\min_{b \in B}{\|a - b\|}} \] Likewise the directed median nearest neighbour distance metric is: \[ \mathrm{median}_{a \in A}{\min_{b \in B}{\|a - b\|}} \] Where \(A\) and \(B\) are the two datasets. More... | |
WlzErrorNum | WlzDistMetricDirVertex3D (int n0, WlzDVertex3 *vx0, int n1, WlzDVertex3 *vx1, double *dstDistH, double *dstDistM, double *dstDistN, double *dstDistI) |
Computes any combination of the directed Hausdorff, mean nearest neighbour, median nearest neighbour and minimum nearest neighbour distances between the given sets of vertices. See WlzDistMetricDirVertex2D() for an explaination of the distance metrics. More... | |
Functions to compute the Hausdorff distance, mean nearest neighbour and the median nearest neighbour distances between two datasets.
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