濃度投影結果クラス

Namespace: FVIL.Measure
Assembly: FVILbasic (in FVILbasic.dll) Version: 3.1.0.0 (3.1.0.17)

Syntax

C#
[SerializableAttribute]
public class CFviProjectionResult : CFviDataObject, 
	IEnumerable<Statistics>, IXmlSerializable
Visual Basic
<SerializableAttribute>
Public Class CFviProjectionResult
	Inherits CFviDataObject
	Implements IEnumerable(Of Statistics), IXmlSerializable

Remarks

濃度投影クラス(CFviProjection)の計測結果を格納するクラスです。

Examples

下図の画像の Y 方向の濃度投影を取得する処理です。

【処理対象】


※この画像は視覚的な確認の為、グリッド線を描画しています。


計測結果

16x12 pixel の画像の Y 方向の濃度投影を取得した結果です。
配列の要素数は 16 です。各要素の統計データ数(Count)は 12 です。 
No.  ,Count,      Sum,     Mean,      Min,      Max,    Sigma,      Var
[000]    12,       84,    7.000,    0.000,   26.000,    8.307,   69.000
[001]    12,      101,    8.417,    0.000,   29.000,    8.864,   78.576
[002]    12,      125,   10.417,    0.000,   30.000,    9.639,   92.910
[003]    12,       64,    5.333,    0.000,   31.000,    8.844,   78.222
[004]    12,       70,    5.833,    0.000,   17.000,    5.444,   29.639
[005]    12,       80,    6.667,    0.000,   15.000,    5.452,   29.722
[006]    12,      103,    8.583,    0.000,   43.000,   12.440,  154.743
[007]    12,      339,   28.250,    0.000,   76.000,   30.186,  911.188
[008]    12,      287,   23.917,    0.000,   86.000,   32.304, 1043.576
[009]    12,      344,   28.667,    0.000,   87.000,   29.990,  899.389
[010]    12,       56,    4.667,    0.000,   13.000,    4.365,   19.056
[011]    12,       78,    6.500,    0.000,   25.000,    8.170,   66.750
[012]    12,       89,    7.417,    0.000,   21.000,    7.488,   56.076
[013]    12,      108,    9.000,    0.000,   30.000,    9.046,   81.833
[014]    12,      161,   13.417,    4.000,   25.000,    6.576,   43.243
[015]    12,       54,    4.500,    0.000,   22.000,    7.171,   51.417

計測方向の取得

計測実行後、このクラスの Direction プロパティに計測方向が設定されます。 
Direction: FVIL.Measure.Direction.Y

計測範囲の取得

計測実行後、このクラスの Window プロパティに計測範囲が設定されます。
下記は、左から St.X, St.Y, Ed.X, Ed.Y, Angle, Center.X, Center.Y の順に出力しています。
終点(Ed)を範囲に含む仕様です。例えば幅を求める場合は Ed.X - St.X + 1 と計算する必要があります。
回転中心(Center)は、始点(St)からの相対値を示します。 
Window   :     0.000,    0.000,   15.000,   11.000,    0.000,    0.000,    0.000

指定フィールドのデータ配列の取得

GetItems(String) メソッドを使用すると任意のフィールドを１次元配列に抽出できます。
配列の要素数は、このクラスが保有する要素数(Count)と同一です。 
Name     , [000], [001], [002], [003], [004], [005], [006], [007], [008], [009], [010], [011], [012], [013], [014], [015],
Count    :  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,  12.0,
Sum      :  84.0, 101.0, 125.0,  64.0,  70.0,  80.0, 103.0, 339.0, 287.0, 344.0,  56.0,  78.0,  89.0, 108.0, 161.0,  54.0,
Mean     :   7.0,   8.4,  10.4,   5.3,   5.8,   6.7,   8.6,  28.3,  23.9,  28.7,   4.7,   6.5,   7.4,   9.0,  13.4,   4.5,
Min      :   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   0.0,   4.0,   0.0,
Max      :  26.0,  29.0,  30.0,  31.0,  17.0,  15.0,  43.0,  76.0,  86.0,  87.0,  13.0,  25.0,  21.0,  30.0,  25.0,  22.0,
Sigma    :   8.3,   8.9,   9.6,   8.8,   5.4,   5.5,  12.4,  30.2,  32.3,  30.0,   4.4,   8.2,   7.5,   9.0,   6.6,   7.2,
Variance :  69.0,  78.6,  92.9,  78.2,  29.6,  29.7, 154.7, 911.2,1043.6, 899.4,  19.1,  66.8,  56.1,  81.8,  43.2,  51.4,

指定フィールドの統計データの取得

GetStatistics(String) メソッドを使用すると任意のフィールドの統計データを算出できます。
統計データ数(Count)は、このクラスが保有する要素数(Count)と同一です。 
Name     ,Count,      Sum,     Mean,      Min,      Max,    Sigma,        Var
Count    :   16,      192,   12.000,   12.000,   12.000,    0.000,      0.000
Sum      :   16,     2143,  133.938,   54.000,  344.000,   95.239,   9070.434
Mean     :   16,      179,   11.161,    4.500,   28.667,    7.937,     62.989
Min      :   16,        4,    0.250,    0.000,    4.000,    0.968,      0.938
Max      :   16,      576,   36.000,   13.000,   87.000,   23.704,    561.875
Sigma    :   16,      194,   12.143,    4.365,   32.304,    9.172,     84.134
Variance :   16,     3705,  231.584,   19.056, 1043.576,  348.271, 121292.818

ソースコード:
C# Copy imageCopy
using System;
using System.Collections.Generic;
using System.Text;
using fvalgcli;

namespace User.SampleCode
{
    public partial class Measure
    {
        /// <summary>
        /// 濃度投影
        /// </summary>
        [FvPluginExecute]
        public void ProjectionResult()
        {
            FVIL.Data.CFviImage src = new FVIL.Data.CFviImage(Defs.TestImageDir + "/Projection_Noise.png");
            FVIL.CFviTimeCounter watch = new FVIL.CFviTimeCounter();
            double msec = 0;
            Dictionary<string, double> times = new Dictionary<string, double>();

            #region 画像統計量.
            {
                FVIL.Measure.CFviProjectionResult result_y = new FVIL.Measure.CFviProjectionResult();
                FVIL.Measure.CFviProjection parser = new FVIL.Measure.CFviProjection(src, 0, FVIL.Measure.Direction.Y, result_y);

                // X 方向.
                watch.Start();
                parser.Execute();
                msec = watch.Stop();
                times["FVIL.Measure.CFviProjection.Execute"] = msec;

                // 出力.
                Console.WriteLine(
                    "{0,-5},{1,5},{2,9},{3,9},{4,9},{5,9},{6,9},{7,9}",
                    "No.", "Count", "Sum", "Mean", "Min", "Max", "Sigma", "Var");
                for (int i = 0; i < result_y.Count; i++)
                {
                    FVIL.Statistics stat = result_y[i];
                    Console.WriteLine(
                        "[{0:000}] {1,5:0},{2,9:0},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,9:0.000}",
                        i, stat.Count, stat.Sum, stat.Mean, stat.Min, stat.Max, stat.Sigma, stat.Variance);
                }

                // 計測方向の取得.
                Console.WriteLine("{0,-9}: {1}.{2}", "Direction",
                    result_y.Direction.GetType().FullName, result_y.Direction);

                // 計測範囲の取得.
                Console.WriteLine(
                    "{0,-9}: {1,9:0.000},{2,9:0.000},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,9:0.000}",
                    "Window",
                    result_y.Window.St.X, result_y.Window.St.Y,
                    result_y.Window.Ed.X, result_y.Window.Ed.Y,
                    result_y.Window.Angle.Degree,
                    result_y.Window.Center.X, result_y.Window.Center.Y
                    );

                // 指定フィールドの抽出.
                string[] names = { "Count", "Sum", "Mean", "Min", "Max", "Sigma", "Variance" };

                // 指定フィールドのデータ配列の取得.
                msec = 0;
                {
                    Console.Write("{0,-9},", "Name");
                    for (int i = 0; i < result_y.Count; i++)
                    {
                        Console.Write(" [{0:000}],", i);
                    }
                    Console.WriteLine("");
                }
                foreach (string name in names)
                {
                    watch.Start();
                    FVIL.DOUBLE_ARRAY datas = result_y.GetItems(name);
                    msec += watch.Stop();

                    // 出力.
                    Console.Write("{0,-9}:", name);
                    for (int i = 0; i < datas.Count; i++)
                    {
                        Console.Write("{0,6:0.0},", datas[i]);
                    }
                    Console.WriteLine("");
                }
                times["FVIL.Measure.CFviProjection.GetItems"] = msec;

                // 指定フィールドの統計データの取得.
                msec = 0;
                {
                    Console.WriteLine(
                        "{0,-9},{1,5},{2,9},{3,9},{4,9},{5,9},{6,9},{7,11}",
                        "Name", "Count", "Sum", "Mean", "Min", "Max", "Sigma", "Var");
                }
                foreach (string name in names)
                {
                    watch.Start();
                    FVIL.Statistics stat = result_y.GetStatistics(name);
                    msec += watch.Stop();

                    Console.WriteLine(
                        "{0,-9}:{1,5:0},{2,9:0},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,11:0.000}",
                        name, stat.Count, stat.Sum, stat.Mean, stat.Min, stat.Max, stat.Sigma, stat.Variance);
                }
                times["FVIL.Measure.CFviProjection.GetStatistics"] = msec;
            }
            #endregion

            Console.WriteLine("");
            foreach (KeyValuePair<string, double> item in times)
            {
                Console.WriteLine("{0,9:0.000} msec : {1}", item.Value, item.Key);
            }
        }
    }
}

Visual Basic Copy imageCopy
Imports System
Imports System.Collections.Generic
Imports System.Text
Imports fvalgcli

Namespace SampleCode
    Partial Public Class Measure
        ''' <summary>
        ''' 濃度投影
        ''' </summary>
        <FvPluginExecute()> _
        Public Sub ProjectionResult()
            Dim src As New FVIL.Data.CFviImage(Defs.TestImageDir + "/Projection_Noise.png")
            Dim watch As New FVIL.CFviTimeCounter()
            Dim msec As Double = 0
            Dim times As New Dictionary(Of String, Double)()

            '#Region "画像統計量."
            If True Then
                Dim result_y As New FVIL.Measure.CFviProjectionResult()
                Dim parser As New FVIL.Measure.CFviProjection(src, 0, FVIL.Measure.Direction.Y, result_y)

                ' X 方向.
                watch.Start()
                parser.Execute()
                msec = watch.[Stop]()
                times("FVIL.Measure.CFviProjection.Execute") = msec

                ' 出力.
                Console.WriteLine( _
                 "{0,-5},{1,5},{2,9},{3,9},{4,9},{5,9},{6,9},{7,9}", _
                 "No.", "Count", "Sum", "Mean", "Min", "Max", "Sigma", "Var")
                For i As Integer = 0 To result_y.Count - 1
                    Dim stat As FVIL.Statistics = result_y(i)
                    Console.WriteLine( _
                     "[{0:000}] {1,5:0},{2,9:0},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,9:0.000}", _
                     i, stat.Count, stat.Sum, stat.Mean, stat.Min, stat.Max, stat.Sigma, stat.Variance)
                Next

                ' 計測方向の取得.
                Console.WriteLine("{0,-9}: {1}.{2}", "Direction", _
                 result_y.Direction.[GetType]().FullName, result_y.Direction)

                ' 計測範囲の取得.
                Console.WriteLine( _
                 "{0,-9}: {1,9:0.000},{2,9:0.000},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,9:0.000}", _
                 "Window", _
                 result_y.Window.St.X, result_y.Window.St.Y, _
                 result_y.Window.Ed.X, result_y.Window.Ed.Y, _
                 result_y.Window.Angle.Degree, _
                 result_y.Window.Center.X, result_y.Window.Center.Y)

                ' 指定フィールドの抽出.
                Dim names As String() = {"Count", "Sum", "Mean", "Min", "Max", "Sigma", "Variance"}

                ' 指定フィールドのデータ配列の取得.
                msec = 0
                If True Then
                    Console.Write("{0,-9},", "Name")
                    For i As Integer = 0 To result_y.Count - 1
                        Console.Write(" [{0:000}],", i)
                    Next
                    Console.WriteLine("")
                End If
                For Each name As String In names
                    watch.Start()
                    Dim datas As FVIL.DOUBLE_ARRAY = result_y.GetItems(name)
                    msec += watch.[Stop]()

                    ' 出力.
                    Console.Write("{0,-9}:", name)
                    For i As Integer = 0 To datas.Count - 1
                        Console.Write("{0,6:0.0},", datas(i))
                    Next
                    Console.WriteLine("")
                Next
                times("FVIL.Measure.CFviProjection.GetItems") = msec

                ' 指定フィールドの統計データの取得.
                msec = 0
                If True Then
                    Console.WriteLine( _
                     "{0,-9},{1,5},{2,9},{3,9},{4,9},{5,9},{6,9},{7,11}", _
                     "Name", "Count", "Sum", "Mean", "Min", "Max", "Sigma", "Var")
                End If
                For Each name As String In names
                    watch.Start()
                    Dim stat As FVIL.Statistics = result_y.GetStatistics(name)
                    msec += watch.[Stop]()

                    Console.WriteLine( _
                     "{0,-9}:{1,5:0},{2,9:0},{3,9:0.000},{4,9:0.000},{5,9:0.000},{6,9:0.000},{7,11:0.000}", _
                     name, stat.Count, stat.Sum, stat.Mean, stat.Min, stat.Max, stat.Sigma, stat.Variance)
                Next
                times("FVIL.Measure.CFviProjection.GetStatistics") = msec
            End If
            '#End Region

            Console.WriteLine("")
            For Each item As KeyValuePair(Of String, Double) In times
                Console.WriteLine("{0,9:0.000} msec : {1}", item.Value, item.Key)
            Next
        End Sub
    End Class
End Namespace

Inheritance Hierarchy

System..::..Object
FVIL..::..CFviObject
FVIL.Data..::..CFviDataObject
FVIL.Measure..::..CFviProjectionResult

See Also