C#霍夫变换实战：直线检测与图像倾斜计算

using System;
using System.Drawing;
using System.Drawing.Imaging;

namespace Instrument_Recognition.ClassLib.Image
{

    class MyImageHoughLine
    {

        #region Need
        /// <summary>
        /// 生成并初始化一个8位灰度图像
        /// </summary>
        public static Bitmap CreateGrayscaleImage(int width, int height)
        {

            Bitmap bmp = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
            // 设置调色板
            SetGrayscalePalette(bmp);
            return bmp;

        }

        /// <summary>
        /// 设置位图的调色板至灰度模式
        /// </summary>
        private static void SetGrayscalePalette(Bitmap srcImg)
        {

            // 检查像素格式
            if (srcImg.PixelFormat != PixelFormat.Format8bppIndexed)
                throw new ArgumentException();

            // 获取调色板
            ColorPalette cp = srcImg.Palette;
            // 初始化调色板
            for (int i = 0; i < 256; i++)
            {

                cp.Entries[i] = Color.FromArgb(i, i, i);

            }
            // 设置调色板
            srcImg.Palette = cp;

        }
        #endregion

        /// <summary>
        /// hough变换测直线
        /// </summary>
        /// <param name="srcBitmap"></param>
        /// <param name="hough_space">精度，0~pi分配到多少格</param>
        /// <param name="threshold">阀值 （0,1）</param>
        /// <returns></returns>
        public static HoughLineResult HoughLine(Bitmap srcBitmap, int hough_space, double threshold)
        {
            
            int angle = 0;