Examples with ImageGray boofcv.struct.image.ImageGray used on opensource projects

Example 1 with ImageGray

use of boofcv.struct.image.ImageGray in project BoofCV by lessthanoptimal.

the class DistortImageOps method affine.

/**
 * <p>
 * Applies an affine transformation from the input image to the output image.
 * </p>
 *
 * <p>
 * Input coordinates (x,y) to output coordinate (x',y')<br>
 * x' = a11*x + a12*y + dx<br>
 * y' = a21*x + a22*y + dy
 * </p>
 * @param input Which which is being rotated.
 * @param output The image in which the output is written to.
 * @param borderType Describes how pixels outside the image border should be handled.
 * @param interpType Which type of interpolation will be used.
 *
 * @deprecated As of v0.19.  Use {@link FDistort} instead
 */
@Deprecated
public static <T extends ImageBase<T>> void affine(T input, T output, BorderType borderType, InterpolationType interpType, double a11, double a12, double a21, double a22, double dx, double dy) {
    Affine2D_F32 m = new Affine2D_F32();
    m.a11 = (float) a11;
    m.a12 = (float) a12;
    m.a21 = (float) a21;
    m.a22 = (float) a22;
    m.tx = (float) dx;
    m.ty = (float) dy;
    m = m.invert(null);
    PixelTransformAffine_F32 model = new PixelTransformAffine_F32(m);
    if (input instanceof ImageGray) {
        distortSingle((ImageGray) input, (ImageGray) output, model, interpType, borderType);
    } else if (input instanceof Planar) {
        distortPL((Planar) input, (Planar) output, model, borderType, interpType);
    }
}

Example 2 with ImageGray

use of boofcv.struct.image.ImageGray in project BoofCV by lessthanoptimal.

the class DistortImageOps method rotate.

/**
 * <p>
 * Rotates the image using the specified interpolation type.  The rotation is performed
 * around the specified center of rotation in the input image.
 * </p>
 *
 * <p>
 * Input coordinates (x,y) to output coordinate (x',y')<br>
 * x' = x_c + c*(x-x_c) - s(y - y_c)<br>
 * y' = y_c + s*(x-x_c) + c(y - y_c)
 * </p>
 *
 * @deprecated As of v0.19.  Use {@link FDistort} instead
 *
 * @param input Which which is being rotated.
 * @param output The image in which the output is written to.
 * @param borderType Describes how pixels outside the image border should be handled.
 * @param interpType Which type of interpolation will be used.
 * @param angleInputToOutput Angle of rotation in radians. From input to output, CCW rotation.
 */
@Deprecated
public static <T extends ImageBase<T>> void rotate(T input, T output, BorderType borderType, InterpolationType interpType, float angleInputToOutput) {
    // (output.width+1)%2;
    float offX = 0;
    // (output.height+1)%2;
    float offY = 0;
    PixelTransform2_F32 model = DistortSupport.transformRotate(input.width / 2, input.height / 2, output.width / 2 - offX, output.height / 2 - offY, angleInputToOutput);
    if (input instanceof ImageGray) {
        distortSingle((ImageGray) input, (ImageGray) output, model, interpType, borderType);
    } else if (input instanceof Planar) {
        distortPL((Planar) input, (Planar) output, model, borderType, interpType);
    }
}

Example 3 with ImageGray

use of boofcv.struct.image.ImageGray in project BoofCV by lessthanoptimal.

the class TestThresholdImageOps method localGaussian.

@Test
public void localGaussian() {
    int total = 0;
    Method[] list = ThresholdImageOps.class.getMethods();
    for (Method m : list) {
        if (!m.getName().equals("localGaussian"))
            continue;
        Class[] param = m.getParameterTypes();
        ImageGray input = GeneralizedImageOps.createSingleBand(param[0], width, height);
        GrayU8 output = new GrayU8(width, height);
        GImageMiscOps.fillUniform(input, rand, 0, 200);
        BoofTesting.checkSubImage(this, "performLocalGaussian", true, m, input, output);
        total++;
    }
    assertEquals(2, total);
}

Example 4 with ImageGray

use of boofcv.struct.image.ImageGray in project BoofCV by lessthanoptimal.

the class TestThresholdImageOps method naiveLocalSquare.

public void naiveLocalSquare(ImageGray input, GrayU8 output, int radius, double scale, boolean down) {
    ImageGray blur;
    boolean isInt;
    if (input instanceof GrayU8) {
        isInt = true;
        blur = BlurImageOps.mean((GrayU8) input, null, radius, null);
    } else {
        isInt = false;
        blur = BlurImageOps.mean((GrayF32) input, null, radius, null);
    }
    float fscale = (float) scale;
    for (int y = 0; y < input.height; y++) {
        for (int x = 0; x < input.width; x++) {
            double threshold = GeneralizedImageOps.get(blur, x, y);
            double v = GeneralizedImageOps.get(input, x, y);
            boolean one;
            if (down) {
                if (isInt) {
                    one = (int) v <= ((int) threshold) * fscale;
                } else {
                    one = v <= threshold * fscale;
                }
            } else {
                if (isInt) {
                    one = ((int) v) * fscale > (int) threshold;
                } else {
                    one = v * fscale > threshold;
                }
            }
            if (one) {
                output.set(x, y, 1);
            } else {
                output.set(x, y, 0);
            }
        }
    }
}

Example 5 with ImageGray

use of boofcv.struct.image.ImageGray in project BoofCV by lessthanoptimal.

the class TestThresholdImageOps method threshold.

@Test
public void threshold() {
    int total = 0;
    Method[] list = ThresholdImageOps.class.getMethods();
    for (Method m : list) {
        if (!m.getName().equals("threshold"))
            continue;
        Class[] param = m.getParameterTypes();
        ImageGray input = GeneralizedImageOps.createSingleBand(param[0], width, height);
        GrayU8 output = new GrayU8(width, height);
        GImageGray a = FactoryGImageGray.wrap(input);
        for (int y = 0; y < input.height; y++) {
            for (int x = 0; x < input.width; x++) {
                a.set(x, y, x);
            }
        }
        BoofTesting.checkSubImage(this, "performThreshold", true, m, input, output);
        total++;
    }
    assertEquals(6, total);
}