Java OpenCV Layer small image onto larger image with transparency - java

I am trying to write a function that overlays an image at a rectangle with transparency over top of another image, However it doesn't layer the images it just erases the section that I overlay and the transparency cuts through the entire image. Here is my code.
public static void overlayImage(String imagePath, String overlayPath, int x, int y, int width, int height) {
Mat overlay = Imgcodecs.imread(overlayPath, Imgcodecs.IMREAD_UNCHANGED);
Mat image = Imgcodecs.imread(imagePath, Imgcodecs.IMREAD_UNCHANGED);
Rectangle rect = new Rectangle(x, y, width, height);
Imgproc.resize(overlay, overlay, rect.size());
Mat submat = image.submat(new Rect(rect.x, rect.y, overlay.cols(), overlay.rows()));
overlay.copyTo(submat);
Imgcodecs.imwrite(imagePath, image);
}
EDIT: Here are some example pictures:
Before:
After:

Found this function that does exactly what I needed.
public static void overlayImage(Mat background,Mat foreground,Mat output, Point location){
background.copyTo(output);
for(int y = (int) Math.max(location.y , 0); y < background.rows(); ++y){
int fY = (int) (y - location.y);
if(fY >= foreground.rows())
break;
for(int x = (int) Math.max(location.x, 0); x < background.cols(); ++x){
int fX = (int) (x - location.x);
if(fX >= foreground.cols()){
break;
}
double opacity;
double[] finalPixelValue = new double[4];
opacity = foreground.get(fY , fX)[3];
finalPixelValue[0] = background.get(y, x)[0];
finalPixelValue[1] = background.get(y, x)[1];
finalPixelValue[2] = background.get(y, x)[2];
finalPixelValue[3] = background.get(y, x)[3];
for(int c = 0; c < output.channels(); ++c){
if(opacity > 0){
double foregroundPx = foreground.get(fY, fX)[c];
double backgroundPx = background.get(y, x)[c];
float fOpacity = (float) (opacity / 255);
finalPixelValue[c] = ((backgroundPx * ( 1.0 - fOpacity)) + (foregroundPx * fOpacity));
if(c==3){
finalPixelValue[c] = foreground.get(fY,fX)[3];
}
}
}
output.put(y, x,finalPixelValue);
}
}
}

Related

Rotate an image by 90 180 and 270 degrees when width and height can be any size

I am having trouble writing a function that takes a BufferedImage and a Cardinal Direction and rotates the image accordingly. I have looked on many threads on stack and tried implementing myself while going over the docs for some time now and the best I'm getting is that the image seems to be rotating, however the last pixel is correct and the rest are set white or transparent not sure.
Here is where I have got so far:
private BufferedImage rotateImg(BufferedImage image, String direction){
int width = image.getWidth();
int height = image.getHeight();
BufferedImage rotated = null;
for(int y = 0; y < height; y++){
for(int x = 0; x < width; x++){
switch(direction){
case "SOUTH":
rotated = new BufferedImage(width, height, image.getType());
rotated.setRGB((width - 1) - x, (height - 1) - y, image.getRGB(x,y));
break;
case "WEST":
//ROTATE LEFT
rotated = new BufferedImage(height, width, image.getType());
rotated.setRGB(y, (width - 1) - x, image.getRGB(x,y));
break;
case "EAST":
//ROTATE RIGHT
rotated = new BufferedImage(height, width, image.getType());
rotated.setRGB((height - 1) - y, x, image.getRGB(x,y));
break;
default:
return image;
}
}
}
return rotated;
}
Below there are four images but as they are so small its really hard to see them. A bit of browser zoom will show them.
When you get close the cyan pixel is staying where it should for the rotation. Its just im loosing the rest of the image.
I don't know if there's a fixed requirement to rotate this image by individual pixels or not, but I'm far to simple minded to even be bothered trying.
Instead, I'd (personally) drop straight into the Graphics API itself, for example...
public static BufferedImage rotateBy(BufferedImage source, double degrees) {
// The size of the original image
int w = source.getWidth();
int h = source.getHeight();
// The angel of the rotation in radians
double rads = Math.toRadians(degrees);
// Some nice math which demonstrates I have no idea what I'm talking about
// Okay, this calculates the amount of space the image will need in
// order not be clipped when it's rotated
double sin = Math.abs(Math.sin(rads));
double cos = Math.abs(Math.cos(rads));
int newWidth = (int) Math.floor(w * cos + h * sin);
int newHeight = (int) Math.floor(h * cos + w * sin);
// A new image, into which the original can be painted
BufferedImage rotated = new BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_ARGB);
Graphics2D g2d = rotated.createGraphics();
// The transformation which will be used to actually rotate the image
// The translation, actually makes sure that the image is positioned onto
// the viewable area of the image
AffineTransform at = new AffineTransform();
at.translate((newWidth - w) / 2, (newHeight - h) / 2);
// And we rotate about the center of the image...
int x = w / 2;
int y = h / 2;
at.rotate(rads, x, y);
g2d.setTransform(at);
// And we paint the original image onto the new image
g2d.drawImage(source, 0, 0, null);
g2d.dispose();
return rotated;
}
This method will create a new image large enough to fit the rotated version of the source image.
You could then drop it into a helper class, add some helper methods and have a basic worker (and re-usable) solution, for example...
public class ImageUtilities {
public enum Direction {
NORTH, SOUTH, EAST, WEST
}
public static BufferedImage rotateBy(BufferedImage source, Direction direction) {
switch (direction) {
case NORTH:
return source;
case SOUTH:
return rotateBy(source, 180);
case EAST:
return rotateBy(source, 90);
case WEST:
return rotateBy(source, -90);
}
return null;
}
public static BufferedImage rotateBy(BufferedImage source, double degrees) {
// The size of the original image
int w = source.getWidth();
int h = source.getHeight();
// The angel of the rotation in radians
double rads = Math.toRadians(degrees);
// Some nice math which demonstrates I have no idea what I'm talking about
// Okay, this calculates the amount of space the image will need in
// order not be clipped when it's rotated
double sin = Math.abs(Math.sin(rads));
double cos = Math.abs(Math.cos(rads));
int newWidth = (int) Math.floor(w * cos + h * sin);
int newHeight = (int) Math.floor(h * cos + w * sin);
// A new image, into which the original can be painted
BufferedImage rotated = new BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_ARGB);
Graphics2D g2d = rotated.createGraphics();
// The transformation which will be used to actually rotate the image
// The translation, actually makes sure that the image is positioned onto
// the viewable area of the image
AffineTransform at = new AffineTransform();
at.translate((newWidth - w) / 2, (newHeight - h) / 2);
// And we rotate about the center of the image...
int x = w / 2;
int y = h / 2;
at.rotate(rads, x, y);
g2d.setTransform(at);
// And we paint the original image onto the new image
g2d.drawImage(source, 0, 0, null);
g2d.dispose();
return rotated;
}
}
(although I might use RIGHT, LEFT, UPSIDE or something, but that's me :P)
Runnable example...
import java.awt.EventQueue;
import java.awt.Graphics2D;
import java.awt.GridLayout;
import java.awt.geom.AffineTransform;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import java.util.logging.Level;
import java.util.logging.Logger;
import javax.imageio.ImageIO;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
public class Main {
public static void main(String[] args) {
new Main();
}
public Main() {
EventQueue.invokeLater(new Runnable() {
#Override
public void run() {
try {
JFrame frame = new JFrame();
frame.add(new TestPane());
frame.pack();
frame.setLocationRelativeTo(null);
frame.setVisible(true);
} catch (IOException ex) {
Logger.getLogger(Main.class.getName()).log(Level.SEVERE, null, ex);
}
}
});
}
public class TestPane extends JPanel {
private BufferedImage masterImage;
private BufferedImage northImage;
private BufferedImage southImage;
private BufferedImage eastImage;
private BufferedImage westImage;
public TestPane() throws IOException {
masterImage = ImageIO.read(new File("/absolute/path/to/your/image.png"));
northImage = ImageUtilities.rotateBy(masterImage, ImageUtilities.Direction.NORTH);
southImage = ImageUtilities.rotateBy(masterImage, ImageUtilities.Direction.SOUTH);
eastImage = ImageUtilities.rotateBy(masterImage, ImageUtilities.Direction.EAST);
westImage = ImageUtilities.rotateBy(masterImage, ImageUtilities.Direction.WEST);
setLayout(new GridLayout(3, 3));
add(new JLabel(""));
add(new JLabel(new ImageIcon(northImage)));
add(new JLabel(""));
add(new JLabel(new ImageIcon(westImage)));
add(new JLabel(new ImageIcon(masterImage)));
add(new JLabel(new ImageIcon(eastImage)));
add(new JLabel(""));
add(new JLabel(new ImageIcon(southImage)));
add(new JLabel(""));
}
}
public class ImageUtilities {
public enum Direction {
NORTH, SOUTH, EAST, WEST
}
public static BufferedImage rotateBy(BufferedImage source, Direction direction) {
switch (direction) {
case NORTH:
return source;
case SOUTH:
return rotateBy(source, 180);
case EAST:
return rotateBy(source, 90);
case WEST:
return rotateBy(source, -90);
}
return null;
}
public static BufferedImage rotateBy(BufferedImage source, double degrees) {
// The size of the original image
int w = source.getWidth();
int h = source.getHeight();
// The angel of the rotation in radians
double rads = Math.toRadians(degrees);
// Some nice math which demonstrates I have no idea what I'm talking about
// Okay, this calculates the amount of space the image will need in
// order not be clipped when it's rotated
double sin = Math.abs(Math.sin(rads));
double cos = Math.abs(Math.cos(rads));
int newWidth = (int) Math.floor(w * cos + h * sin);
int newHeight = (int) Math.floor(h * cos + w * sin);
// A new image, into which the original can be painted
BufferedImage rotated = new BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_ARGB);
Graphics2D g2d = rotated.createGraphics();
// The transformation which will be used to actually rotate the image
// The translation, actually makes sure that the image is positioned onto
// the viewable area of the image
AffineTransform at = new AffineTransform();
at.translate((newWidth - w) / 2, (newHeight - h) / 2);
// And we rotate about the center of the image...
int x = w / 2;
int y = h / 2;
at.rotate(rads, x, y);
g2d.setTransform(at);
// And we paint the original image onto the new image
g2d.drawImage(source, 0, 0, null);
g2d.dispose();
return rotated;
}
}
}
But the image is rotating in the wrong direction!
Okay, so change the angle of rotation to meet your needs!
As commented, the actual code is creating a new image for each pixel, that is, inside the inner loop. Only the image created in the last iteration is returned, containing just the last pixel.
The following code creates one single image - I tried to maintain the original code as much as possible:
private static BufferedImage rotateImg(BufferedImage image, String direction){
int width = image.getWidth();
int height = image.getHeight();
BufferedImage rotated = null;
switch(direction){
case "SOUTH":
rotated = new BufferedImage(width, height, image.getType());
for(int y = 0; y < height; y++){
for(int x = 0; x < width; x++){
rotated.setRGB((width - 1) - x, (height - 1) - y, image.getRGB(x,y));
}
}
break;
case "WEST":
//ROTATE LEFT
rotated = new BufferedImage(height, width, image.getType());
for(int y = 0; y < height; y++){
for(int x = 0; x < width; x++){
rotated.setRGB(y, (width - 1) - x, image.getRGB(x,y));
}
}
break;
case "EAST":
//ROTATE RIGHT
rotated = new BufferedImage(height, width, image.getType());
for(int y = 0; y < height; y++){
for(int x = 0; x < width; x++){
rotated.setRGB((height - 1) - y, x, image.getRGB(x,y));
}
}
break;
default:
return image;
}
return rotated;
}
To avoid having the loop code repeated (easier to maintain) we can use two functions - calX and calcY:
private static BufferedImage rotateImg(BufferedImage image, String direction){
int width = image.getWidth();
int height = image.getHeight();
BufferedImage rotated = null;
IntBinaryOperator calcX;
IntBinaryOperator calcY;
switch(direction){
case "SOUTH":
rotated = new BufferedImage(width, height, image.getType());
calcX = (x, y) -> (width - 1) - x;
calcY = (x, y) -> (height - 1) - y;
break;
case "WEST":
//ROTATE LEFT
rotated = new BufferedImage(height, width, image.getType());
calcX = (x, y) -> y;
calcY = (x, y) -> (width - 1) - x;
break;
case "EAST":
//ROTATE RIGHT
rotated = new BufferedImage(height, width, image.getType());
calcX = (x, y) -> (height - 1) - y;
calcY = (x, y) -> x;
break;
default:
return image;
}
for(int y = 0; y < height; y++){
for(int x = 0; x < width; x++){
rotated.setRGB(calcX.applyAsInt(x, y), calcY.applyAsInt(x, y), image.getRGB(x,y));
}
}
return rotated;
}

Rotating a bufferedImage 90 degrees

I am looking to rotate an image that is loaded from files by 90 degrees. I have the code but when I use it, I am given an error saying that the coordinates are out of bounds. Any help would be appreciated.
Here is the method I have written so far:
public void rotateImage(OFImage image) {
if (currentImage != null) {
int width = image.getWidth();
int height = image.getHeight();
OFImage newImage = new OFImage(width, height);
for (int i = 0; i < width; i++) {
for (int j = 0; j < height; j++) {
Color col = image.getPixel(i, j);
newImage.setPixel(height - j - 2, i, col);
}
}
image = newImage;
}
}
When you rotate the image by a certain angle, the resulting image becomes larger than the original one. The maximum image size is obtained when rotated by 45 degrees:
When creating a new image, you have to set its dimensions according to the rotated size:
public BufferedImage rotateImage(BufferedImage image, double angle) {
double radian = Math.toRadians(angle);
double sin = Math.abs(Math.sin(radian));
double cos = Math.abs(Math.cos(radian));
int width = image.getWidth();
int height = image.getHeight();
int nWidth = (int) Math.floor((double) width * cos + (double) height * sin);
int nHeight = (int) Math.floor((double) height * cos + (double) width * sin);
BufferedImage rotatedImage = new BufferedImage(
nWidth, nHeight, BufferedImage.TYPE_INT_ARGB);
// and so on...
return rotatedImage;
}
See also: Rotate a buffered image in Java

What's wrong with image rotation code?

The image rotates with code below, but wrong, some black dots appears on original image. I believe it's something with rotation code. Any solution? Thanks. The image dimensions is 32x32 pixels loaded on center of screen (320x240).
public class RendPanel extends JPanel {
private static final long serialVersionUID = 1L;
int widthe = 320;
int heighte = 240;
double angle = Math.toRadians(220);
double sin = Math.sin(angle);
double cos = Math.cos(angle);
double x0 = 0.5 * (widthe - 1); // point to rotate about
double y0 = 0.5 * (heighte - 1); // center of image
public static BufferedImage fbuffer;
public RendPanel(int width, int height) {
fbuffer = new BufferedImage(320, 240, BufferedImage.TYPE_INT_RGB);
BufferedImage in = null;
try { in = ImageIO.read(new File("square.png")); } //32x32 square .png
catch (IOException e) { e.printStackTrace(); }
for (int i = 0; i < in.getWidth(); i++) {
for (int j = 0; j < in.getHeight(); j++) {
fbuffer.setRGB(i + (320 / 2) - 16, j + (240 / 2) - 16, in.getRGB(i, j));
}
}
BufferedImage neww = new BufferedImage(320, 240, BufferedImage.TYPE_INT_RGB);
for (int x = 0; x < widthe; x++) {
for (int y = 0; y < heighte; y++) {
if(x >= x0 - 32 && x <= x0 + 32 && y >= y0 - 32 && y <= y0 + 32){
double a = x - x0;
double b = y - y0;
int xx = (int) (+a * cos - b * sin + x0);
int yy = (int) (+a * sin + b * cos + y0);
// plot pixel (x, y) the same color as (xx, yy) if it's in bounds
if (xx >= 0 && xx < width && yy >= 0 && yy < height) {
neww.setRGB(xx, yy, fbuffer.getRGB(x, y));
}
}
}
}
fbuffer = neww;
repaint();
setPreferredSize(new Dimension(width, height));
}
protected void paintComponent(Graphics g) {
super.paintComponent(g);
g.drawImage(fbuffer, 0, 0, null);
}
}
A beginner's mistake (sorry).
Taking every source pixel in turn, transforming the coordinates to the destination and copying the pixel value is not the right way.because the regular input grid will not map to a regular grid, and there will be voids (and overlaps).
The correct way is to scan the destination image (so that every destination pixel is reached) and counter-transform the coordinates to fetch the pixel value from the source.
As a refinement, you can use the four neighboring pixel from where you land in the source and perform bilinear interpolation, to reduce aliasing.
Man, it's strange, because in this code it works properly!
Heres a working code:
public class RendPanel extends JPanel {
private static final long serialVersionUID = 1L;
int widthe = 320;
int heighte = 240;
int ang = 0;
double x0 = 0.5 * (widthe - 1); // point to rotate about
double y0 = 0.5 * (heighte - 1); // center of image
public static BufferedImage fbuffer;
public RendPanel(int width, int height) {
fbuffer = new BufferedImage(320, 240, BufferedImage.TYPE_INT_RGB);
BufferedImage in = null;
try { in = ImageIO.read(new File("square.png")); } //32x32 square .png
catch (IOException e) { e.printStackTrace(); }
for (int i = 0; i < in.getWidth(); i++) {
for (int j = 0; j < in.getHeight(); j++) {
fbuffer.setRGB(i + (320 / 2) - 16, j + (240 / 2) - 16, in.getRGB(i, j));
}
}
setPreferredSize(new Dimension(width, height));
}
BufferedImage neww;
public void r(){
neww = new BufferedImage(320, 240, BufferedImage.TYPE_INT_RGB);
double angle = Math.toRadians(ang);
double sin = Math.sin(angle);
double cos = Math.cos(angle);
for (int x = 0; x < widthe; x++) {
for (int y = 0; y < heighte; y++) {
if(x >= x0 - 32 && x <= x0 + 32 && y >= y0 - 32 && y <= y0 + 32){
double a = x - x0;
double b = y - y0;
int xx = (int) (+a * cos - b * sin + x0);
int yy = (int) (+a * sin + b * cos + y0);
// plot pixel (x, y) the same color as (xx, yy) if it's in bounds
if (xx >= 0 && xx < widthe && yy >= 0 && yy < heighte) {
neww.setRGB(x, y, fbuffer.getRGB(xx, yy));
}
}
}
}
ang++;
repaint();
}
protected void paintComponent(Graphics g) {
super.paintComponent(g);
g.drawImage(neww, 0, 0, null);
}
}
Thanks for:
https://introcs.cs.princeton.edu/java/31datatype/Rotation.java.html
EDIT:
You have to invert the vars on bf2.setRGB(x, y, fbuffer.getRGB(xx, yy)); to the rotated coordinate.

How to convert image to black & white image and remove shadow in andorid Using OpenCV

I have a code that turns a RGB bitmap into a bitmap of black and white colors, using this code:
public static Bitmap setDefaultValues(Bitmap bmp) {
Mat srcMat = new Mat();
org.opencv.android.Utils.bitmapToMat(bmp, srcMat, true);
final Bitmap bitmap = Bitmap.createBitmap(srcMat.clone().width(), srcMat.clone().height(), Bitmap.Config.ARGB_8888);
Imgproc.cvtColor(srcMat, srcMat, Imgproc.COLOR_BGR2GRAY, 0);
Mat srcMat1 = srcMat;
Imgproc.GaussianBlur(srcMat1, srcMat1, new Size(3, 3), 0);
//Mat srcMat1 = new Mat(srcMat.rows(), srcMat.cols(), CV_8UC1);
//int kernalsize = 3;
//Imgproc.bilateralFilter(srcMat, srcMat1, kernalsize, kernalsize * 2, kernalsize / 2);
srcMat1.convertTo(srcMat1, 0, 1.9, -120);
srcMat1.convertTo(srcMat1, CvType.CV_8U, 1.9, -120);
Imgproc.cvtColor(srcMat1, srcMat1, Imgproc.COLOR_GRAY2RGBA, 4);
org.opencv.android.Utils.matToBitmap(srcMat, bitmap, true);
return bitmap;
}
I have implement this code for convert RGB image into black and white.
this is return me as right, but my question is here i cant remove shadow from image.
also i have compare other application this is convert perfectly, i don't understand where i am wrong.
this is original Image :
this is my application output
this is other application output
So please help me how can i achieve my goal.
Please use following code for convert your color image to black and white.
public static Bitmap createContrast(Bitmap src, double value) {
// image size
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
// get contrast value
double contrast = Math.pow((100 + value) / 100, 2);
// scan through all pixels
for(int x = 0; x < width; ++x) {
for(int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
// apply filter contrast for every channel R, G, B
R = Color.red(pixel);
R = (int)(((((R / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(R < 0) { R = 0; }
else if(R > 255) { R = 255; }
G = Color.red(pixel);
G = (int)(((((G / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(G < 0) { G = 0; }
else if(G > 255) { G = 255; }
B = Color.red(pixel);
B = (int)(((((B / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if(B < 0) { B = 0; }
else if(B > 255) { B = 255; }
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, R, G, B));
}
}
return bmOut;}
Please try this if you will get the solution
public static Bitmap test(Bitmap src){
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
R = Color.red(pixel);
G = Color.green(pixel);
B = Color.blue(pixel);
int gray = (int) (0.2989 * R + 0.5870 * G + 0.1140 * B);
// use 128 as threshold, above -> white, below -> black
if (gray > 128) {
gray = 255;
}
else{
gray = 0;
}
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, gray, gray, gray));
}
}
return bmOut;
}
Please see the answer on this thread. He has explained and provide a good result in output.
#Threshold image using opencv (Java)

Take monochrome picture (black and white) with Android

I would like to take a picture in true black and white in my app. I searched for solutions (in this site too), but I always found solution to put a photo in gray scale (for example in this topic), but it's not what I am looking for ...
I also found a topic proposing this :
public static Bitmap createContrast(Bitmap src, double value) {
// image size
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
// get contrast value
double contrast = Math.pow((100 + value) / 100, 2);
// scan through all pixels
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
// apply filter contrast for every channel R, G, B
R = Color.red(pixel);
R = (int) (((((R / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if (R < 0) {
R = 0;
} else if (R > 255) {
R = 255;
}
G = Color.red(pixel);
G = (int) (((((G / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if (G < 0) {
G = 0;
} else if (G > 255) {
G = 255;
}
B = Color.red(pixel);
B = (int) (((((B / 255.0) - 0.5) * contrast) + 0.5) * 255.0);
if (B < 0) {
B = 0;
} else if (B > 255) {
B = 255;
}
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, R, G, B));
}
}
return bmOut;
}
But the image quality is horrible ...
Is anyone having an idea please?
Thank you
If you like the image to be 1bit black/white you can use a simple (& slow) threshold algorithm
public static Bitmap createBlackAndWhite(Bitmap src) {
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
// scan through all pixels
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
R = Color.red(pixel);
G = Color.green(pixel);
B = Color.blue(pixel);
int gray = (int) (0.2989 * R + 0.5870 * G + 0.1140 * B);
// use 128 as threshold, above -> white, below -> black
if (gray > 128)
gray = 255;
else
gray = 0;
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, gray, gray, gray));
}
}
return bmOut;
}
But depending on what that will not look good, for better results you need a dithering algorithm, see Algorithm overview - this one is the threshold method.
For 256 levels of gray conversion:
according to http://www.mathworks.de/help/toolbox/images/ref/rgb2gray.html you calculate the gray value of each pixel as gray = 0.2989 * R + 0.5870 * G + 0.1140 * B which would translate to
public static Bitmap createGrayscale(Bitmap src) {
int width = src.getWidth();
int height = src.getHeight();
// create output bitmap
Bitmap bmOut = Bitmap.createBitmap(width, height, src.getConfig());
// color information
int A, R, G, B;
int pixel;
// scan through all pixels
for (int x = 0; x < width; ++x) {
for (int y = 0; y < height; ++y) {
// get pixel color
pixel = src.getPixel(x, y);
A = Color.alpha(pixel);
R = Color.red(pixel);
G = Color.green(pixel);
B = Color.blue(pixel);
int gray = (int) (0.2989 * R + 0.5870 * G + 0.1140 * B);
// set new pixel color to output bitmap
bmOut.setPixel(x, y, Color.argb(A, gray, gray, gray));
}
}
return bmOut;
}
But that is pretty slow since you have to do that for millions of pixels separately.
https://stackoverflow.com/a/9377943/995891 has a much nicer way of achieving the same.
// code from that answer put into method from above
public static Bitmap createGrayscale(Bitmap src) {
int width = src.getWidth();
int height = src.getHeight();
Bitmap bmOut = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888);
Canvas canvas = new Canvas(bmOut);
ColorMatrix ma = new ColorMatrix();
ma.setSaturation(0);
Paint paint = new Paint();
paint.setColorFilter(new ColorMatrixColorFilter(ma));
canvas.drawBitmap(src, 0, 0, paint);
return bmOut;
}
G = Color.red(pixel);
G = Color.green(pixel);
B = Color.red(pixel);
B = Color.blue(pixel);
See if this changes (in bold) helps.

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