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

Example 1 with GrayI

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

the class ImageBorderWrapped method wrap.

/**
 * Creates an ImageBorder for the two specified images. The offsets are created by dividing the difference
 * inside by 2. Border must be bigger the image.
 */
public static <T extends ImageGray<T>> ImageBorder<T> wrap(T border, T image) {
    int offsetX = (border.width - image.width) / 2;
    int offsetY = (border.height - image.height) / 2;
    ImageBorder<T> ret;
    if (border instanceof GrayI) {
        ret = new S32(offsetX, offsetY, (GrayI) border);
    } else if (border instanceof GrayF32) {
        ret = (ImageBorder) new F32(offsetX, offsetY, (GrayF32) border);
    } else {
        throw new RuntimeException("Not supported yet");
    }
    ret.setImage(image);
    return ret;
}

Example 2 with GrayI

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

the class TestEnhanceImageOps method equalizeLocal.

public void equalizeLocal(GrayI input, GrayI found) {
    GrayI expected = (GrayI) GeneralizedImageOps.createSingleBand(input.getClass(), input.width, input.height);
    GImageMiscOps.fillUniform(input, rand, 0, 9);
    GrowArray<DogArray_I32> workArrays = new GrowArray<>(DogArray_I32::new);
    for (int radius = 1; radius < 11; radius++) {
        BoofTesting.callStaticMethod(ImplEnhanceHistogram.class, "equalizeLocalNaive", input, radius, histogramLength, expected, workArrays);
        BoofTesting.callStaticMethod(EnhanceImageOps.class, "equalizeLocal", input, radius, found, histogramLength, workArrays);
        BoofTesting.assertEquals(expected, found, 1e-10);
    }
}

Example 3 with GrayI

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

the class TestEnhanceImageOps method equalizeLocal.

@Test
void equalizeLocal() {
    int numFound = 0;
    Method[] methods = EnhanceImageOps.class.getMethods();
    for (int i = 0; i < methods.length; i++) {
        if (methods[i].getName().compareTo("equalizeLocal") != 0)
            continue;
        numFound++;
        Class imageType = methods[i].getParameterTypes()[0];
        GrayI input = (GrayI) GeneralizedImageOps.createSingleBand(imageType, width, height);
        GrayI output = (GrayI) GeneralizedImageOps.createSingleBand(imageType, width, height);
        equalizeLocal(input, output);
        BoofTesting.checkSubImage(this, "equalizeLocal", true, input, output);
    }
    assertEquals(2, numFound);
}

Example 4 with GrayI

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

the class TestImplEnhanceHistogram method equalizeLocalInner.

@Test
void equalizeLocalInner() {
    int numFound = 0;
    Method[] methods = ImplEnhanceHistogram.class.getMethods();
    for (Method method : methods) {
        if (method.getName().compareTo("equalizeLocalNaive") != 0)
            continue;
        numFound++;
        Class imageType = method.getParameterTypes()[0];
        GrayI input = (GrayI) GeneralizedImageOps.createSingleBand(imageType, width, height);
        GrayI output = (GrayI) GeneralizedImageOps.createSingleBand(imageType, width, height);
        equalizeLocalInner(input, output);
        BoofTesting.checkSubImage(this, "equalizeLocalInner", true, input, output);
    }
    assertEquals(2, numFound);
}

Example 5 with GrayI

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

the class TestImplEnhanceHistogram method equalizeLocalRow.

public void equalizeLocalRow(GrayI input, GrayI found) {
    GrayI expected = GeneralizedImageOps.createSingleBand(input.getClass(), input.width, input.height);
    GrowArray<DogArray_I32> workArrays = new GrowArray<>(DogArray_I32::new);
    GImageMiscOps.fillUniform(input, rand, 0, 9);
    // check the top row
    for (int radius = 1; radius < 6; radius++) {
        // fill with zeros so it can be tested using checkBorderZero
        GImageMiscOps.fill(found, 0);
        BoofTesting.callStaticMethod(ImplEnhanceHistogram.class, "equalizeLocalNaive", input, radius, histogramLength, expected, workArrays);
        BoofTesting.callStaticMethod(ImplEnhanceHistogram.class, "equalizeLocalRow", input, radius, histogramLength, 0, found, workArrays);
        GrayI subExpected = (GrayI) expected.subimage(0, 0, width, radius, null);
        GrayI subFound = (GrayI) found.subimage(0, 0, width, radius, null);
        // check solution
        BoofTesting.assertEquals(subExpected, subFound, 1e-10);
        checkZeroOutsideRows(found, 0, radius);
    }
    // check the bottom row
    for (int radius = 1; radius < 6; radius++) {
        // fill with zeros so it can be tested using checkBorderZero
        GImageMiscOps.fill(found, 0);
        int start = input.height - radius;
        BoofTesting.callStaticMethod(ImplEnhanceHistogram.class, "equalizeLocalNaive", input, radius, histogramLength, expected, workArrays);
        BoofTesting.callStaticMethod(ImplEnhanceHistogram.class, "equalizeLocalRow", input, radius, histogramLength, start, found, workArrays);
        GrayI subExpected = (GrayI) expected.subimage(0, start, width, height, null);
        GrayI subFound = (GrayI) found.subimage(0, start, width, height, null);
        // check solution
        BoofTesting.assertEquals(subExpected, subFound, 1e-10);
        checkZeroOutsideRows(found, start, height);
    }
}