|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | ||||||||
java.lang.Objectvolume.Kernel
volume.Kernel1D
volume.Gaussian
volume.DoG
public class DoG
This is a 1D Difference of Gaussian convolution kernel. DoG(x) = 1 / Math.sqrt(2 Math.PI * sigma^2) e^(-x^2 / 2 sigma^2) - 1 / Math.sqrt(2 Math.PI * (1.6 sigma)^2) e^(-x^2 / 2 (1.6 sigma)^2)
| Field Summary |
|---|
| Fields inherited from class volume.Kernel1D |
|---|
k |
| Fields inherited from class volume.Kernel |
|---|
halfwidth |
| Constructor Summary | |
|---|---|
DoG(double sigma)
Create a Difference of Gaussian kernel from standard deviation sigma. |
|
| Method Summary | |
|---|---|
java.lang.String |
toString()
|
| Methods inherited from class volume.Gaussian |
|---|
getSigma |
| Methods inherited from class volume.Kernel1D |
|---|
kernelToString |
| Methods inherited from class volume.Kernel |
|---|
support |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Constructor Detail |
|---|
public DoG(double sigma)
sigma, - the standard deviation of the associated probability function of the Gaussian function.| Method Detail |
|---|
public java.lang.String toString()
toString in class Gaussian
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD | ||||||||