/**
* This method will perform erosion operation on the binary image img. A binary image has two
* types of pixels - Black and White. WHITE pixel has the ARGB value (255,255,255,255) BLACK pixel
* has the ARGB value (255,0,0,0)
*
* <p>For erosion we generally consider foreground pixel. So, erodeForegroundPixel = true
*
* @param img The image on which erosion operation is performed
* @param erodeForegroundPixel If set to TRUE will perform erosion on WHITE pixels else on BLACK
* pixels.
*/
public static void binaryImage(MyImage img, boolean erodeForegroundPixel) {
/** Dimension of the image img. */
int width = img.getImageWidth();
int height = img.getImageHeight();
/** This will hold the erosion result which will be copied to image img. */
int output[] = new int[width * height];
/**
* If erosion is to be performed on BLACK pixels then targetValue = 0 else targetValue = 255;
* //for WHITE pixels
*/
int targetValue = (erodeForegroundPixel == true) ? 0 : 255;
/**
* If the target pixel value is WHITE (255) then the reverse pixel value will be BLACK (0) and
* vice-versa.
*/
int reverseValue = (targetValue == 255) ? 0 : 255;
// perform erosion
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
// For BLACK pixel RGB all are set to 0 and for WHITE pixel all are set to 255.
if (img.getRed(x, y) == targetValue) {
/** We are using a 3x3 kernel [1, 1, 1 1, 1, 1 1, 1, 1] */
boolean flag = false; // this will be set if a pixel of reverse value is found in the mask
for (int ty = y - 1; ty <= y + 1 && flag == false; ty++) {
for (int tx = x - 1; tx <= x + 1 && flag == false; tx++) {
if (ty >= 0 && ty < height && tx >= 0 && tx < width) {
// origin of the mask is on the image pixels
if (img.getRed(tx, ty) != targetValue) {
flag = true;
output[x + y * width] = reverseValue;
}
}
}
}
if (flag == false) {
// all pixels inside the mask [i.e., kernel] were of targetValue
output[x + y * width] = targetValue;
}
} else {
output[x + y * width] = reverseValue;
}
}
}
/** Save the erosion value in image img. */
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int v = output[x + y * width];
img.setPixel(x, y, 255, v, v, v);
}
}
}
/**
* This method will perform erosion operation on the grayscale image img. It will find the minimum
* value among the pixels that are under the mask [element value 1] and will set the origin to the
* minimum value.
*
* @param img The image on which erosion operation is performed
* @param mask the square mask.
* @param maskSize the size of the square mask. [i.e., number of rows]
*/
public static void grayscaleImage(MyImage img, int mask[], int maskSize) {
/** Dimension of the image img. */
int width = img.getImageWidth();
int height = img.getImageHeight();
// buff
int buff[];
// output of erosion
int output[] = new int[width * height];
// perform erosion
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
buff = new int[maskSize * maskSize];
int i = 0;
for (int ty = y - maskSize / 2, mr = 0; ty <= y + maskSize / 2; ty++, mr++) {
for (int tx = x - maskSize / 2, mc = 0; tx <= x + maskSize / 2; tx++, mc++) {
/**
* Sample 3x3 mask [kernel or structuring element] [0, 1, 0 1, 1, 1 0, 1, 0]
*
* <p>Only those pixels of the image img that are under the mask element 1 are
* considered.
*/
if (ty >= 0 && ty < height && tx >= 0 && tx < width) {
// pixel under the mask
if (mask[mc + mr * maskSize] != 1) {
continue;
}
buff[i] = img.getRed(tx, ty);
i++;
}
}
}
// sort buff
java.util.Arrays.sort(buff);
// save lowest value
output[x + y * width] = buff[(maskSize * maskSize) - i];
}
}
/** Save the erosion value in image img. */
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int v = output[x + y * width];
img.setPixel(x, y, 255, v, v, v);
}
}
}
/**
* This method will perform erosion operation on the grayscale image img.
*
* @param img The image on which erosion operation is performed
*/
public static void grayscaleImage(MyImage img) {
/** Dimension of the image img. */
int width = img.getImageWidth();
int height = img.getImageHeight();
// buff
int buff[];
// output of erosion
int output[] = new int[width * height];
// perform erosion
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
buff = new int[9];
int i = 0;
for (int ty = y - 1; ty <= y + 1; ty++) {
for (int tx = x - 1; tx <= x + 1; tx++) {
/** 3x3 mask [kernel or structuring element] [1, 1, 1 1, 1, 1 1, 1, 1] */
if (ty >= 0 && ty < height && tx >= 0 && tx < width) {
// pixel under the mask
buff[i] = img.getRed(tx, ty);
i++;
}
}
}
// sort buff
java.util.Arrays.sort(buff);
// save lowest value
output[x + y * width] = buff[9 - i];
}
}
/** Save the erosion value in image img. */
for (int y = 0; y < height; y++) {
for (int x = 0; x < width; x++) {
int v = output[x + y * width];
img.setPixel(x, y, 255, v, v, v);
}
}
}