refactor/ThoughtWorks.QRCode/Codec/Reader/QRCodeImageReader.cs

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namespace ThoughtWorks.QRCode.Codec.Reader
{
    using System;
    using System.Collections;
    using ThoughtWorks.QRCode.Codec.Data;
    using ThoughtWorks.QRCode.Codec.Reader.Pattern;
    using ThoughtWorks.QRCode.Codec.Util;
    using ThoughtWorks.QRCode.ExceptionHandler;
    using ThoughtWorks.QRCode.Geom;

    public class QRCodeImageReader
    {
        public const bool POINT_DARK = true;
        public const bool POINT_LIGHT = false;
        internal DebugCanvas canvas = QRCodeDecoder.Canvas;
        public static int DECIMAL_POINT = 0x15;
        internal SamplingGrid samplingGrid;
        internal bool[][] bitmap;

        internal virtual bool[][] applyCrossMaskingMedianFilter(bool[][] image, int threshold)
        {
            bool[][] flagArray = new bool[image.Length][];
            for (int i = 0; i < image.Length; i++)
            {
                flagArray[i] = new bool[image[0].Length];
            }
            for (int j = 2; j < (image[0].Length - 2); j++)
            {
                for (int k = 2; k < (image.Length - 2); k++)
                {
                    int num2 = 0;
                    for (int m = -2; m < 3; m++)
                    {
                        if (image[k + m][j])
                        {
                            num2++;
                        }
                        if (image[k][j + m])
                        {
                            num2++;
                        }
                    }
                    if (num2 > threshold)
                    {
                        flagArray[k][j] = true;
                    }
                }
            }
            return flagArray;
        }

        internal virtual bool[][] applyMedianFilter(bool[][] image, int threshold)
        {
            bool[][] flagArray = new bool[image.Length][];
            for (int i = 0; i < image.Length; i++)
            {
                flagArray[i] = new bool[image[0].Length];
            }
            for (int j = 1; j < (image[0].Length - 1); j++)
            {
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