Java Code Examples for ij.process.FloatProcessor#setMask()

public static FloatProcessor modulo(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a%b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    float tmp;
    for (int i = 0, im = a.getWidth(); i < im; i++) {
        for (int j = 0, jm = a.getHeight(); j < jm; j++) {
            tmp = a.getf(i, j) / b.getf(i, j);
            res.setf(i, j, a.getf(i, j) - (((float)((int)tmp)) * b.getf(i, j)));
        }
    }
    return res;
}
 

public static FloatProcessor relNeq(Double val, FloatProcessor mat) {
    float v = val.floatValue();
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    for(int x = 0; x < mat.getWidth(); x++) {
        for(int y = 0; y < mat.getHeight(); y++) {
            res.setf(x, y, ((mat.getf(x, y) != v) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relEq(Double val, FloatProcessor mat) {
    float v = val.floatValue();
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    for(int x = 0; x < mat.getWidth(); x++) {
        for(int y = 0; y < mat.getHeight(); y++) {
            res.setf(x, y, ((mat.getf(x, y) == v) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor logOr(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a|b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    for(int x = 0; x < a.getWidth(); x++) {
        for(int y = 0; y < a.getHeight(); y++) {
            res.setf(x, y, (((a.getf(x, y) != 0.0f) || (b.getf(x, y) != 0.0f)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor logAnd(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a&b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    for(int x = 0; x < a.getWidth(); x++) {
        for(int y = 0; y < a.getHeight(); y++) {
            res.setf(x, y, (((a.getf(x, y) != 0.0f) && (b.getf(x, y) != 0.0f)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relLt(FloatProcessor mat, Double val) {
    float v = val.floatValue();
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    for(int x = 0; x < mat.getWidth(); x++) {
        for(int y = 0; y < mat.getHeight(); y++) {
            res.setf(x, y, ((mat.getf(x, y) < v) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relLt(Double val, FloatProcessor mat) {
    float v = val.floatValue();
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    for(int x = 0; x < mat.getWidth(); x++) {
        for(int y = 0; y < mat.getHeight(); y++) {
            res.setf(x, y, ((v < mat.getf(x, y)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relLt(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a<b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    for(int x = 0; x < a.getWidth(); x++) {
        for(int y = 0; y < a.getHeight(); y++) {
            res.setf(x, y, ((a.getf(x, y) < b.getf(x, y)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relGt(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a<b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    for(int x = 0; x < a.getWidth(); x++) {
        for(int y = 0; y < a.getHeight(); y++) {
            res.setf(x, y, ((a.getf(x, y) > b.getf(x, y)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

public static FloatProcessor relNeq(FloatProcessor a, FloatProcessor b) {
    if((a.getWidth() != b.getWidth()) || (a.getHeight()!= b.getHeight())) {
        throw new IllegalArgumentException("Error during evaluation of `a<b` expression! Both operands must be of the same size!");
    }
    FloatProcessor res = new FloatProcessor(a.getWidth(), a.getHeight());
    res.setMask(a.getMask() != null ? a.getMask(): b.getMask());
    for(int x = 0; x < a.getWidth(); x++) {
        for(int y = 0; y < a.getHeight(); y++) {
            res.setf(x, y, ((a.getf(x, y) != b.getf(x, y)) ? 1.0f : 0.0f));
        }
    }
    return res;
}
 

private FloatProcessor getRoiProcessor(ImagePlus imp, Roi roi, int index) {
    ImageProcessor ip = imp.getStack().getProcessor(index);
    ip.setRoi(roi.getBounds());
    FloatProcessor fp = subtract(ip.crop().convertToFloatProcessor(), (float) CameraSetupPlugIn.getOffset());
    float minVal = VectorMath.min((float[]) fp.getPixels());
    if(minVal < 0) {
        IJ.log("\\Update:Camera base level is set higher than values in the image!");
        fp = add(-minVal, fp);
    }
    fp.setMask(roi.getMask());
    return fp;
}
 

/**
 * Calculate a {@code val}-th power of an image {@code fp}.
 * 
 * @param val {@code val}-th power of {@code fp}
 * @param fp an input image
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fpv = fp ^ val}
 */
public static FloatProcessor power(FloatProcessor fp, float val) {
    FloatProcessor out = new FloatProcessor(fp.getWidth(), fp.getHeight());
    out.setMask(fp.getMask());
    for (int i = 0, im = fp.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp.getHeight(); j < jm; j++) {
            out.setf(i, j, (float)pow((double)fp.getPixelValue(i, j), (double)val));
        }
    }

    return out;
}
 

/**
 * Divide a scalar value by values from an image.
 * 
 * @param val an input value which the input image ({@code fp}) will divide
 * @param fp an input image
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fpv = val / fp}
 */
public static FloatProcessor divide(float val, FloatProcessor fp) {
    FloatProcessor out = new FloatProcessor(fp.getWidth(), fp.getHeight());
    out.setMask(fp.getMask());
    for (int i = 0, im = fp.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp.getHeight(); j < jm; j++) {
            out.setf(i, j, val / fp.getPixelValue(i, j));
        }
    }

    return out;
}
 

/**
 * Divide values of one image by values of the other image.
 * 
 * The images are required to be of the same size.
 *
 * @param fp1 an input image which the other input image ({@code fp2}) will be divided by
 * @param fp2 another input image which will divide the {@code fp1}
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fp3 = fp1 / fp2}
 */
public static FloatProcessor divide(FloatProcessor fp1, FloatProcessor fp2) {
    assert (fp1.getWidth() == fp2.getWidth());
    assert (fp1.getHeight() == fp2.getHeight());

    FloatProcessor out = new FloatProcessor(fp1.getWidth(), fp1.getHeight());
    out.setMask(fp1.getMask() != null ? fp1.getMask(): fp2.getMask());
    for (int i = 0, im = fp1.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp1.getHeight(); j < jm; j++) {
            out.setf(i, j, fp1.getPixelValue(i, j) / fp2.getPixelValue(i, j));
        }
    }

    return out;
}
 

/**
 * Multiply two images.
 * 
 * The images are required to be of the same size.
 *
 * @param fp1 an input image which the other input image ({@code fp2}) will be multiplied with
 * @param fp2 another input image which will be multiplied with {@code fp1}
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fp3 = fp1 * fp2}
 */
public static FloatProcessor multiply(FloatProcessor fp1, FloatProcessor fp2) {
    assert (fp1.getWidth() == fp2.getWidth());
    assert (fp1.getHeight() == fp2.getHeight());

    FloatProcessor out = new FloatProcessor(fp1.getWidth(), fp1.getHeight());
    out.setMask(fp1.getMask() != null ? fp1.getMask(): fp2.getMask());
    for (int i = 0, im = fp1.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp1.getHeight(); j < jm; j++) {
            out.setf(i, j, fp1.getPixelValue(i, j) * fp2.getPixelValue(i, j));
        }
    }

    return out;
}
 

/**
 * Subtract an image from a scalar.
 * 
 * @param val an input value which the input image ({@code fp}) will be subtracted from
 * @param fp an input image
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fpv = val - fp}
 */
public static FloatProcessor subtract(float val, FloatProcessor fp) {
    FloatProcessor out = new FloatProcessor(fp.getWidth(), fp.getHeight());
    out.setMask(fp.getMask());
    for (int i = 0, im = fp.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp.getHeight(); j < jm; j++) {
            out.setf(i, j, val - fp.getPixelValue(i, j));
        }
    }

    return out;
}
 

/**
 * Subtract one image to the other.
 * 
 * The images are required to be of the same size.
 *
 * @param fp1 an input image which the other input image ({@code fp2}) will be subtracted from
 * @param fp2 another input image which will be subtracted from {@code fp1}
 * @return a <strong>new instance</strong> of FloatProcessor: {@mathjax fp3 = fp1 - fp2}
 */
public static FloatProcessor subtract(FloatProcessor fp1, FloatProcessor fp2) {
    assert (fp1.getWidth() == fp2.getWidth());
    assert (fp1.getHeight() == fp2.getHeight());

    FloatProcessor out = new FloatProcessor(fp1.getWidth(), fp1.getHeight());
    out.setMask(fp1.getMask() != null ? fp1.getMask(): fp2.getMask());
    for (int i = 0, im = fp1.getWidth(); i < im; i++) {
        for (int j = 0, jm = fp1.getHeight(); j < jm; j++) {
            out.setf(i, j, fp1.getPixelValue(i, j) - fp2.getPixelValue(i, j));
        }
    }

    return out;
}
 

public static FloatProcessor modulo(float val, FloatProcessor mat) {
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    float tmp;
    for (int i = 0, im = mat.getWidth(); i < im; i++) {
        for (int j = 0, jm = mat.getHeight(); j < jm; j++) {
            tmp = val / mat.getf(i, j);
            res.setf(i, j, val - (((float)((int)tmp)) * mat.getf(i, j)));
        }
    }
    return res;
}
 

public static FloatProcessor modulo(FloatProcessor mat, float val) {
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight());
    res.setMask(mat.getMask());
    float tmp;
    for (int i = 0, im = mat.getWidth(); i < im; i++) {
        for (int j = 0, jm = mat.getHeight(); j < jm; j++) {
            tmp = mat.getf(i, j) / val;
            res.setf(i, j, mat.getf(i, j) - (((float)((int)tmp)) * val));
        }
    }
    return res;
}
 

public static FloatProcessor abs(FloatProcessor mat) {
    FloatProcessor res = new FloatProcessor(mat.getWidth(), mat.getHeight(), (float [])mat.getPixelsCopy(), null);
    res.abs();
    res.setMask(mat.getMask());
    return res;
}