stepEdgeParSelLL2K {DRIP} R Documentation

## edge detection, parameter selection

### Description

Select threshold value for LL2K edge detector using bootstrap procedure

### Usage

stepEdgeParSelLL2K(image, bandwidth, thresh, nboot)

### Arguments

 image A square matrix object of size n by n, no missing value allowed. bandwidth Positive integers to specify the number of pixels used in the local smoothing. These are the bandwidth parameters to be chosen from. thresh Threshold values to be chosen from. nboot Number of bootstrap samples.

### Details

A jump-preserving local linear kernel smoothing is applied to estimate the discontinuous regression surface; Bootstrap samples are obtained by drawing with replacement from the residuals and the d_{KQ} is computed for the detected edges of the original sample and those of the bootstrap samples.

### Value

Returns a list of the selected bandwdith, the selected threshold value, and a matrix of d_{KQ} values with each entry corresponding to each combination of bandwdith and threshold.

### References

Kang, Y., and Qiu, P., "Jump Detection in Blurred Regression Surfaces," Technometrics, 56, 2014, 539-550.

stepEdgeParSelLCK, stepEdgeParSelLLK, stepEdgeParSelLC2K, stepEdgeLL2K
data(sar) # SAR image is bundled with the package and it is a