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|
import ij.IJ;
import ij.ImagePlus;
import ij.gui.GenericDialog;
import ij.plugin.filter.PlugInFilter;
import ij.process.ByteProcessor;
import ij.process.ImageProcessor;
import java.util.ArrayList;
import java.util.List;
/**
* InPaint by isophote continuation
*
* @author Xavier Philippeau
*
*/
public class Inpaint_ implements PlugInFilter {
// Temporary workspace
private class Channel {
private int[][] data;
public Channel(int w,int h) {
data = new int[h][w];
}
public int getValue(int x, int y) {
return data[y][x];
}
public void setValue(int x, int y, int v) {
data[y][x]=v;
}
}
// neighbours offsets (for border spreading)
private int[] dx4 = new int[] {-1, 0, 1, 0};
private int[] dy4 = new int[] { 0,-1, 0, 1};
// neighbours offsets (for sampling)
private int[] dxs = null;
private int[] dys = null;
// distance Map to the unmasked part of the image
private Channel distmap = null;
// Output image
private Channel output = null;
private int width = 0;
private int height = 0;
// mask color
private int[] maskcolor = new int[3];
// isophote preservation factor
private int preservation = 0;
// About...
private void showAbout() {
IJ.showMessage("InPaint...","InPaint Filter by Pseudocode");
}
public int setup(String arg, ImagePlus imp) {
// about...
if (arg.equals("about")) {
showAbout();
return DONE;
}
// else...
if (imp==null) return DONE;
// Configuration dialog.
GenericDialog gd = new GenericDialog("Parameters");
gd.addNumericField("Sample region size",24,0);
gd.addStringField("Mask color (R,G,B)","255,0,0");
gd.addNumericField("Isophote preservation factor",4,0);
int nmbsample = 0;
String hexamask ="";
gd.showDialog();
while(true) {
if ( gd.wasCanceled() ) return DONE;
nmbsample = (int) gd.getNextNumber();
hexamask = gd.getNextString();
this.preservation = (int) gd.getNextNumber();
if (nmbsample<=0) continue;
if (this.preservation<0) continue;
if (hexamask.split(",").length!=3) continue;
break;
}
gd.dispose();
// Get Mask Color
String[] split = hexamask.split(",");
this.maskcolor[0] = Integer.parseInt(split[0]);
this.maskcolor[1] = Integer.parseInt(split[1]);
this.maskcolor[2] = Integer.parseInt(split[2]);
// Initialize dxs[] and dys[] tables
initSample(nmbsample);
return PlugInFilter.DOES_RGB;
}
private void initSample(int nmbsample) {
// Initialize neighbours offsets for sampling
dxs = new int[nmbsample];
dys = new int[nmbsample];
// **** build a spiral curve ****
// directions: Left=(-1,0) Up=(0,-1) Right=(1,0) Down=(0,1)
int[] dx = new int[] {-1, 0,1,0};
int[] dy = new int[] { 0,-1,0,1};
int dirIndex=0;
int distance=0;
int stepToDo=1;
int x=0, y=0;
while (true) {
// move two times with the same StepCount
for (int i = 0; i < 2; i++) {
// move
for (int j = 0; j < stepToDo; j++) {
x += dx[dirIndex];
y += dy[dirIndex];
dxs[distance] = x;
dys[distance] = y;
distance++;
if (distance >= nmbsample) return;
}
// turn right
dirIndex = (dirIndex + 1) % 4;
}
// increment StepCount
stepToDo++;
}
}
public void run(ImageProcessor ip) {
// ImageProcessor -> GRAYLEVEL IMAGE
ByteProcessor input = new ByteProcessor(ip.getWidth(),ip.getHeight());
// ImageProcessor -> BINARY MASK
ByteProcessor mask = new ByteProcessor(ip.getWidth(),ip.getHeight());
for (int y = 0; y < ip.getHeight(); y++) {
for (int x = 0; x < ip.getWidth(); x++) {
int[] rgb = ip.getPixel(x,y,null);
int gray = (rgb[0]+rgb[1]+rgb[2])/3;
input.set(x,y,gray);
if (rgb[0]==this.maskcolor[0] && rgb[1]==this.maskcolor[1] && rgb[2]==this.maskcolor[2])
mask.set(x,y,255);
else
mask.set(x,y,0);
}
}
// Inpaint filter
inpaintloop(input, mask);
// ByteProcessor -> ImageProcessor conversion
ImageProcessor result = new ByteProcessor(ip.getWidth(),ip.getHeight());
for (int y = 0; y < ip.getHeight(); y++) {
for (int x = 0; x < ip.getWidth(); x++) {
result.set(x,y,this.output.getValue(x,y));
}
}
ImagePlus newImg = new ImagePlus("Inpaint Filter Result", result);
newImg.show();
}
// ---------------------------------------------------------------------------------
// Compute the initial borderline (unmasked pixels close to the mask)
private List<int[]> computeBorderline(ByteProcessor mask) {
List<int[]> borderline = new ArrayList<int[]>();
for (int y=0; y<this.height; y++) {
for (int x=0; x<this.width; x++) {
// for each pixel NOT masked
int v = mask.get(x,y);
if (v>127) continue;
// if a neighboor is masked
// => put the pixel in the borderline list
for (int k=0; k<4; k++) {
int xk = x+dx4[k];
int yk = y+dy4[k];
if (xk<0 || xk>=this.width) continue;
if (yk<0 || yk>=this.height) continue;
int vk = mask.get(xk,yk);
if (vk>127) {
borderline.add(new int[] {x,y});
break;
}
}
}
}
return borderline;
}
// iteratively inpaint the image
private void inpaintloop(ByteProcessor input, ByteProcessor mask) {
this.width = input.getWidth();
this.height = input.getHeight();
// initialize output image
this.output = new Channel(this.width,this.height);
for (int y=0; y<this.height; y++) {
for (int x=0; x<this.width; x++) {
if (mask.get(x, y)<127)
this.output.setValue(x, y, input.get(x, y)); // known value
else
this.output.setValue(x, y, -1); // unknown value (masked)
}
}
// initialize the distance map
this.distmap = new Channel(this.width,this.height);
for (int y=0; y<this.height; y++)
for (int x=0; x<this.width; x++)
if (mask.get(x, y)<127)
this.distmap.setValue(x, y, 0); // outside the mask -> distance = 0
else
this.distmap.setValue(x, y, Integer.MAX_VALUE); // inside the mask -> distance unknown
// outer borderline
List<int[]> borderline = computeBorderline(mask);
// iteratively reduce the borderline
while(!borderline.isEmpty()) {
borderline = propagateBorderline(borderline);
}
}
// inpaint pixels close to the borderline
private List<int[]> propagateBorderline(List<int[]> boderline) {
List<int[]> newBorderline = new ArrayList<int[]>();
// for each pixel in the bordeline
for (int[] pixel : boderline) {
int x=pixel[0];
int y=pixel[1];
// distance from the image
int dist = this.distmap.getValue(x, y);
// explore neighbours, search for uncomputed pixels
for (int k=0; k<4; k++) {
int xk = x+dx4[k];
int yk = y+dy4[k];
if (xk<0 || xk>=this.width) continue;
if (yk<0 || yk>=this.height) continue;
int vout = this.output.getValue(xk,yk);
if (vout>=0) continue; // pixel value is already known.
// compute distance to image
this.distmap.setValue(xk, yk, dist+1);
// inpaint this pixel
int v = inpaint(xk, yk);
if (v<0) {
// should not happen.
System.err.println("inpaint for "+xk+","+yk+" returns "+v);
this.output.setValue(xk, yk, v);
continue;
}
this.output.setValue(xk, yk, v);
// add this pixel to the new borderline
newBorderline.add( new int[]{xk,yk} );
}
}
return newBorderline;
}
// inpaint one pixel
private int inpaint(int x, int y) {
double wsum = 0;
double vinpaint = 0;
int dist = this.distmap.getValue(x, y);
// sampling pixels in the region
List<int[]> region = new ArrayList<int[]>();
for (int k=0; k<dxs.length; k++) {
int xk = x+dxs[k];
int yk = y+dys[k];
if (xk<0 ||xk>=this.width) continue;
if (yk<0 ||yk>=this.height) continue;
// take only pixels computed in previous loops
int distk = this.distmap.getValue(xk, yk);
if (distk>=dist) continue;
region.add( new int[]{xk,yk} );
}
// mean isophote vector of the region
double isox = 0, isoy = 0;
int count=0;
for (int[] pixel: region) {
int xk = pixel[0];
int yk = pixel[1];
// isophote direction = normal to the gradient
double[] g = gradient(xk,yk,dist);
if (g!=null){
isox += -g[1] * g[2];
isoy += g[0] * g[2];
count++;
}
}
if (count>0) {
isox/=count; isoy/=count;
}
double isolength = Math.sqrt( isox*isox + isoy*isoy );
// contribution of each pixels in the region
for (int[] pixel: region) {
int xk = pixel[0];
int yk = pixel[1];
// propagation vector
int px = x-xk;
int py = y-yk;
double plength = Math.sqrt( px*px + py*py );
// Weight of the propagation:
// 1. isophote continuation: cos(isophote,propagation) = normalized dot product ( isophote , propagation )
double wisophote = 0;
if (isolength>0) {
double cosangle = Math.abs(isox*px+isoy*py) / (isolength*plength);
cosangle = Math.min(cosangle, 1.0);
/*
// linear weight version:
double angle = Math.acos(cosangle);
double alpha = 1-(angle/Math.PI);
wisophote = Math.pow(alpha,this.preservation);
*/
wisophote = Math.pow(cosangle,this.preservation);
}
// 2. spread direction:
// gradient length = O -> omnidirectionnal
// gradient length = maxlength -> unidirectionnal
double unidir = Math.min(isolength/255,1);
// 3. distance: distance to inpaint pixel
double wdist = 1.0 / (1.0 + plength*plength);
// 4. probability: distance to image (unmasked pixel)
int distk = this.distmap.getValue(xk, yk);
double wproba = 1.0 / (1.0 + distk*distk);
// global weight
double w = wdist * wproba * ( unidir*wisophote + (1-unidir)*1 );
vinpaint += w*this.output.getValue(xk,yk);
wsum+=w;
}
if (wsum<=0) return -1;
vinpaint/=wsum;
if (vinpaint<0) vinpaint = 0;
if (vinpaint>255) vinpaint = 255;
return (int)vinpaint;
}
// 8 neightbours gradient
private double[] gradient(int x, int y, int dist) {
// Coordinates of 8 neighbours
int px = x - 1; // previous x
int nx = x + 1; // next x
int py = y - 1; // previous y
int ny = y + 1; // next y
// limit to image dimension
if (px < 0) return null;
if (nx >= this.width) return null;
if (py < 0) return null;
if (ny >= this.height) return null;
// availability of the 8 neighbours
// (must be computed in previous loops)
if (this.distmap.getValue(px,py)>=dist) return null;
if (this.distmap.getValue( x,py)>=dist) return null;
if (this.distmap.getValue(nx,py)>=dist) return null;
if (this.distmap.getValue(px, y)>=dist) return null;
if (this.distmap.getValue(nx, y)>=dist) return null;
if (this.distmap.getValue(px,ny)>=dist) return null;
if (this.distmap.getValue( x,ny)>=dist) return null;
if (this.distmap.getValue(nx,ny)>=dist) return null;
// Intensity of the 8 neighbours
int Ipp = this.output.getValue(px,py);
int Icp = this.output.getValue( x,py);
int Inp = this.output.getValue(nx,py);
int Ipc = this.output.getValue(px, y);
int Inc = this.output.getValue(nx, y);
int Ipn = this.output.getValue(px,ny);
int Icn = this.output.getValue( x,ny);
int Inn = this.output.getValue(nx,ny);
// Local gradient
double r2 = 2*Math.sqrt(2);
double gradx = (Inc-Ipc)/2.0 + (Inn-Ipp)/r2 + (Inp-Ipn)/r2;
double grady = (Icn-Icp)/2.0 + (Inn-Ipp)/r2 + (Ipn-Inp)/r2;
double norme = Math.sqrt(gradx*gradx+grady*grady);
return new double[] { gradx, grady, norme };
}
} |
[Image] Filtre Inpaint pour ImageJ
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