C# (CSharp) Accord.Imaging Tools.Meanの例

Mean() public static method

Computes the arithmetic mean of the pixels in a given image.

public static Mean ( this image ) : double
image	this
return	double

コード例 #1

ファイル: ToolsTest.cs プロジェクト: jthornca/accord-framework

        public void MeanTest3()
        {
            UnmanagedImage image = UnmanagedImage.FromManagedImage(new byte[, ]
            {
                { 1, 2, 3 },
                { 4, 5, 6 },
                { 7, 8, 9 },
            }.ToBitmap());

            {
                Rectangle rectangle = new Rectangle(0, 0, 1, 2);
                double    expected  = (1 + 4) / 2.0;
                double    actual    = Tools.Mean(image, rectangle);
                Assert.AreEqual(expected, actual);
            }

            {
                double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
                double actual   = Tools.Mean(image);
                Assert.AreEqual(expected, actual);
            }
        }

コード例 #2

ファイル: ToolsTest.cs プロジェクト: jthornca/accord-framework

        public void MeanTest2()
        {
            // Test for 16 bpp images
            Bitmap image = new short[, ]
            {
                { 1, 2, 3 },
                { 4, 5, 6 },
                { 7, 8, 9 },
            }.ToBitmap();

            {
                Rectangle rectangle = new Rectangle(0, 0, 1, 2);
                double    expected  = (1 + 4) / 2.0;
                double    actual    = Tools.Mean(image, rectangle);
                Assert.AreEqual(expected, actual);
            }

            {
                double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
                double actual   = Tools.Mean(image);
                Assert.AreEqual(expected, actual);
            }
        }

コード例 #3

ファイル: ToolsTest.cs プロジェクト: jthornca/accord-framework

        public void MeanTest()
        {
            Bitmap image;

            new MatrixToImage().Convert(new byte[, ]
            {
                { 1, 2, 3 },
                { 4, 5, 6 },
                { 7, 8, 9 },
            }, out image);

            {
                Rectangle rectangle = new Rectangle(0, 0, 1, 2);
                double    expected  = (1 + 4) / 2.0;
                double    actual    = Tools.Mean(image, rectangle);
                Assert.AreEqual(expected, actual);
            }

            {
                double expected = (1 + 2 + 3 + 4 + 5 + 6 + 7 + 8 + 9) / 9.0;
                double actual   = Tools.Mean(image);
                Assert.AreEqual(expected, actual);
            }
        }