OTS/OTSIncAReportApp/2-CommonFunction/CommonClass/DrawFunction.cs

using System;
using System.Collections.Generic;
using System.Drawing;
using System.Drawing.Imaging;
using System.Linq;
using System.Text;
using System.Threading.Tasks;

using OTSIncAReportGraph.Class;
using System.Runtime.InteropServices;
using System.IO;
using OpenCvSharp;

namespace OTSIncAReportGraph.Class
{
    /// <summary>
    /// 相关图表绘制函数统一封装类
    /// </summary>
    static class DrawFunction
    {
        [DllImport("gdi32.dll")]
        public static extern System.UInt32 GetPixel(IntPtr hdc, int xPos, int yPos);

        /// <summary>    
        /// 将一个byte的数组转换为8bit灰度位图    
        /// </summary>    
        /// <param name="data">数组</param>    
        /// <param name="width">图像宽度</param>    
        /// <param name="height">图像高度</param>    
        /// <returns>位图</returns>    
        public static Bitmap ToGrayBitmap(byte[] data, int width, int height)
        {
            //// 申请目标位图的变量，并将其内存区域锁定    
            Bitmap bmp = new Bitmap(width, height, PixelFormat.Format8bppIndexed);
            //// BitmapData这部分内容  需要 using System.Drawing.Imaging;  
            BitmapData bmpData = bmp.LockBits(new Rectangle(0, 0, width, height),
            ImageLockMode.WriteOnly, PixelFormat.Format8bppIndexed);

            //// 获取图像参数    
            // 扫描线的宽度   
            //int stride = bmpData.Stride;
            // 显示宽度与扫描线宽度的间隙  
            int offset = width - width;
            // 获取bmpData的内存起始位置
            IntPtr iptr = bmpData.Scan0;
            // 用stride宽度，表示这是内存区域的大小
            int scanBytes = width * height;

            //// 下面把原始的显示大小字节数组转换为内存中实际存放的字节数组    
            int posScan = 0, posReal = 0;// 分别设置两个位置指针，指向源数组和目标数组    
            byte[] pixelValues = new byte[scanBytes];  //为目标数组分配内存    

            for (int x = 0; x < height; x++)
            {
                //// 下面的循环节是模拟行扫描    
                for (int y = 0; y < width; y++)
                {
                    pixelValues[posScan++] = data[posReal++];
                }
                posScan += offset;  //行扫描结束，要将目标位置指针移过那段“间隙”    
            }
            //// 用Marshal的Copy方法，将刚才得到的内存字节数组复制到BitmapData中    
            System.Runtime.InteropServices.Marshal.Copy(pixelValues, 0, iptr, scanBytes);
            bmp.UnlockBits(bmpData);  // 解锁内存区域    

            //// 下面的代码是为了修改生成位图的索引表，从伪彩修改为灰度    
            ColorPalette tempPalette;
            using (Bitmap tempBmp = new Bitmap(1, 1, PixelFormat.Format8bppIndexed))
            {
                tempPalette = tempBmp.Palette;
            }
            for (int i = 0; i < 256; i++)
            {
                tempPalette.Entries[i] = Color.FromArgb(i, i, i);
            }
            bmp.Palette = tempPalette;

            //// 算法到此结束，返回结果    
            return bmp;
        }

        /// <summary>
        /// *有BUG*将图片缩放到目标宽高,该方法有问题，不应该继续使用，图像申缩存在不规则问题
        /// </summary>
        /// <param name="sourceImage"></param>
        /// <param name="targetWidth"></param>
        /// <param name="targetHeight"></param>
        /// <returns></returns>
        public static Image pictureProcess(Image sourceImage, int targetWidth, int targetHeight)
        {
            int width;//图片最终的宽  
            int height;//图片最终的高  
            try
            {
                System.Drawing.Imaging.ImageFormat format = sourceImage.RawFormat;
                Bitmap targetPicture = new Bitmap(targetWidth, targetHeight);
                Graphics g = Graphics.FromImage(targetPicture);
                g.Clear(Color.White);

                //计算缩放图片的大小  
                if (sourceImage.Width > targetWidth && sourceImage.Height <= targetHeight)
                {
                    width = targetWidth;
                    height = (width * sourceImage.Height) / sourceImage.Width;
                }
                else if (sourceImage.Width <= targetWidth && sourceImage.Height > targetHeight)
                {
                    height = targetHeight;
                    width = (height * sourceImage.Width) / sourceImage.Height;
                }
                else if (sourceImage.Width <= targetWidth && sourceImage.Height <= targetHeight)
                {
                    width = sourceImage.Width;
                    height = sourceImage.Height;
                }
                else
                {
                    width = targetWidth;
                    height = (width * sourceImage.Height) / sourceImage.Width;
                    if (height > targetHeight)
                    {
                        height = targetHeight;
                        width = (height * sourceImage.Width) / sourceImage.Height;
                    }
                }
                g.DrawImage(sourceImage, (targetWidth - width) / 2, (targetHeight - height) / 2, width, height);
                g.Dispose();
                return targetPicture;
            }
            catch (Exception ex)
            {
                string str = ex.ToString();
            }
            return null;
        }

        /// <summary>
        /// 根据传入的宽和高，取得当前对应显示的4:3的标准分辨率
        /// </summary>
        /// <returns></returns>
        public static Rectangle Get43ScaleResolving(int in_width, int in_height)
        {
            Rectangle rect_resolving = new Rectangle();
            int width_min = 0;
            int height_min = 0;
            int width_max = 0;
            int height_max = 0;

            width_min = 1600;
            height_min = 1200;
            width_max = 2048;
            height_max = 1536;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 1400;
            height_min = 1050;
            width_max = 1600;
            height_max = 1200;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 1280;
            height_min = 1024;
            width_max = 1400;
            height_max = 1050;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 1024;
            height_min = 768;
            width_max = 1280;
            height_max = 1024;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 800;
            height_min = 600;
            width_max = 1024;
            height_max = 768;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 640;
            height_min = 480;
            width_max = 800;
            height_max = 600;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 320;
            height_min = 240;
            width_max = 640;
            height_max = 480;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            width_min = 0;
            height_min = 0;
            width_max = 320;
            height_max = 240;
            if ((in_width >= width_min && in_width < width_max) || (in_height >= height_min && in_height < height_max))
                rect_resolving = new Rectangle(0, 0, width_min, height_min);

            return rect_resolving;
        }

        /// <summary>  
        /// [该方法效果正确，但速度上慢，淘汰掉]，上下翻转  
        /// </summary>  
        /// <param name="mybm">原始图片</param>  
        /// <param name="width">原始图片的长度</param>  
        /// <param name="height">原始图片的高度</param>  
        public static Bitmap RevPicUD(Bitmap mybm, int width, int height)
        {
            Bitmap bm = new Bitmap(width, height);
            int x, y, z;
            Color pixel;
            for (x = 0; x < width; x++)
            {
                for (y = height - 1, z = 0; y >= 0; y--)
                {
                    pixel = mybm.GetPixel(x, y);//获取当前像素的值  
                    bm.SetPixel(x, z++, Color.FromArgb(pixel.R, pixel.G, pixel.B));//绘图  
                }
            }
            return bm;
        }


        /// <summary>
        /// 实现计算的方法,就是输出个数字，然后向上寻找倍数，然后返回来根
        /// </summary>
        /// <param name="in_number"></param>
        /// <returns></returns>
        public static int GetSquareRoot(int in_number)
        {
            int i_increase = 1;

            while (true)
            {
                //防止死循环
                if (i_increase > 10000)
                    return i_increase;

                int ls_i = i_increase * i_increase;
                if (in_number > ls_i)
                {
                    //如果当前的数值已经大于平方数的话，那就继续下一次的平方
                    i_increase++;
                    continue;
                }
                else
                {
                    //如果已经小于平方数的话，那就说明已经找到了平方根，返回
                    return i_increase;
                }
            }
        }


        /// <summary>
        /// 根据传入的数字返回对应的颜色,范围1-17种颜色，挑出来比较谈的颜色为对比效果好看而挑选
        /// </summary>
        /// <param name="number"></param>
        /// <returns></returns>
        public static Color GetColorByNumber(int number)
        {
            Color ret_color = new Color();
            switch (number)
            {
                case 1:
                    ret_color = Color.Blue;
                    break;
                case 2:
                    ret_color = Color.Brown;
                    break;
                case 3:
                    ret_color = Color.LimeGreen;
                    break;
                case 13:
                    ret_color = Color.Cyan;
                    break;
                case 4:
                    ret_color = Color.DarkBlue;
                    break;
                case 5:
                    ret_color = Color.Red;
                    break;
                case 6:
                    ret_color = Color.SaddleBrown;
                    break;
                case 7:
                    ret_color = Color.DimGray;
                    break;
                case 8:
                    ret_color = Color.Navy;
                    break;
                case 9:
                    ret_color = Color.Peru;
                    break;
                case 10:
                    ret_color = Color.Red;
                    break;
                case 11:
                    ret_color = Color.SeaGreen;
                    break;
                case 12:
                    ret_color = Color.MintCream;
                    break;
                case 14:
                    ret_color = Color.PaleTurquoise;
                    break;
                case 15:
                    ret_color = Color.SeaShell;
                    break;
                case 16:
                    ret_color = Color.Snow;
                    break;
                case 17:
                    ret_color = Color.WhiteSmoke;
                    break;

                default:
                    ret_color = Color.White;
                    break;
            }

            return ret_color;
        }

        /// <summary>
        /// 获取一个自绘模仿进度条的bitemap对象,传入进度的值，0-100之间
        /// </summary>
        /// <param name="process_value"></param>
        /// <returns></returns>
        public static Bitmap GetProcessBitmap(int process_value)
        {
            Bitmap bmp = new Bitmap(104, 30); //这里给104是为了左边和右边空出2个像素，剩余的100就是百分比的值
            Graphics g = Graphics.FromImage(bmp);
            g.Clear(Color.White); //背景填白色
                                  //g.FillRectangle(Brushes.Red, 2, 2, this.Press, 26);  //普通效果
                                  //填充渐变效果
            SolidBrush drawBrush = new SolidBrush(Color.Black);
            g.FillRectangle(new System.Drawing.Drawing2D.LinearGradientBrush(new System.Drawing.Point(30, 2), new System.Drawing.Point(30, 30), Color.Red, Color.Gray), 2, 2, process_value, 26);
            g.DrawString(process_value.ToString(), new Font("宋体", 9), drawBrush, 50, 8);
            return bmp;
        }



        /// <summary>
        /// 获取一个自绘模仿进度条的bitemap对象,传入进度的值，0-100之间[重载可以自定设置背景色]
        /// </summary>
        /// <param name="process_value"></param>
        /// <param name="back_color"></param>
        /// <returns></returns>
        public static Bitmap GetProcessBitmap(float process_value, Color back_color)
        {
            if (process_value < 0)
                process_value = 0;
            if (process_value > 100)
                process_value = 100;
            Bitmap bmp = new Bitmap(104, 30); //这里给104是为了左边和右边空出2个像素，剩余的100就是百分比的值
            Graphics g = Graphics.FromImage(bmp);
            g.Clear(back_color); //背景填白色
                                 //g.FillRectangle(Brushes.Red, 2, 2, this.Press, 26);  //普通效果
                                 //填充渐变效果
            SolidBrush drawBrush = new SolidBrush(Color.Black);
            g.FillRectangle(new System.Drawing.Drawing2D.LinearGradientBrush(new System.Drawing.Point(30, 2), new System.Drawing.Point(30, 30), Color.Red, Color.Gray), 2, 2, process_value, 26);
            g.DrawString(process_value.ToString(), new Font("宋体", 9), drawBrush, 50, 8);
            return bmp;
        }


        /// <summary>
        /// [颜色：16进制转成RGB]
        /// </summary>
        /// <param name="strColor">设置16进制颜色 [返回RGB]</param>
        /// <returns></returns>
        public static System.Drawing.Color colorHx16toRGB(string strHxColor)
        {
            try
            {
                if (strHxColor.Length == 0)
                {//如果为空
                    return System.Drawing.Color.FromArgb(0, 0, 0);//设为黑色
                }
                else
                {//转换颜色
                    if (strHxColor.IndexOf('#') > -1)
                    {
                        //如果颜色格式是 #0000FF 格式的
                        return System.Drawing.Color.FromArgb(System.Int32.Parse(strHxColor.Substring(1, 2), System.Globalization.NumberStyles.AllowHexSpecifier), System.Int32.Parse(strHxColor.Substring(3, 2), System.Globalization.NumberStyles.AllowHexSpecifier), System.Int32.Parse(strHxColor.Substring(5, 2), System.Globalization.NumberStyles.AllowHexSpecifier));
                    }
                    else
                    {
                        //如果颜色格式是 0000FF 格式的
                        return System.Drawing.Color.FromArgb(System.Int32.Parse(strHxColor.Substring(0, 2), System.Globalization.NumberStyles.AllowHexSpecifier), System.Int32.Parse(strHxColor.Substring(2, 2), System.Globalization.NumberStyles.AllowHexSpecifier), System.Int32.Parse(strHxColor.Substring(4, 2), System.Globalization.NumberStyles.AllowHexSpecifier));
                    }
                }
            }
            catch
            {//设为黑色
                return System.Drawing.Color.FromArgb(0, 0, 0);
            }
        }


        /// <summary>
        /// 通过FileStream 来打开文件，这样就可以实现不锁定Image文件，到时可以让多用户同时访问Image文件
        /// </summary>
        /// <param name="path"></param>
        /// <returns></returns>
        public static Bitmap ReadImageFile(string path)
        {
            if (!File.Exists(path))
            {
                return null;//文件不存在
            }
            FileStream fs = File.OpenRead(path); //OpenRead
            int filelength = 0;
            filelength = (int)fs.Length; //获得文件长度 
            Byte[] image = new Byte[filelength]; //建立一个字节数组 
            fs.Read(image, 0, filelength); //按字节流读取 
            System.Drawing.Image result = System.Drawing.Image.FromStream(fs);
            fs.Close();
            Bitmap bit = new Bitmap(result);
            return bit;
        }
        //图片转成二进制        
        public static byte[] GetPictureData(string imagepath)
        {
            /**/
            ////根据图片文件的路径使用文件流打开，并保存为byte[]             
            FileStream FileStream = new FileStream(imagepath, FileMode.Open);
            byte[] byData = new byte[FileStream.Length];
            FileStream.Read(byData, 0, byData.Length);
            FileStream.Close();
            return byData;
        }


        /// <summary>
        /// 将image转成bytes
        /// </summary>
        /// <param name="in_img"></param>
        /// <returns></returns>
        public static byte[] ImageConvertToBytes(System.Drawing.Image in_img)
        {
            MemoryStream ms = new MemoryStream();
            in_img.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg);
            return ms.ToArray();
        }


        /// <summary> 
        /// Resize图片
        /// </summary>
        /// <param name="bmp">原始Bitmap</param>
        /// <param name="newW">新的宽度</param>
        /// <param name="newH">新的高度</param>
        /// <returns>处理以后的图片</returns>
        public static Bitmap KiResizeImage(Bitmap bmp, int newW, int newH)
        {
            try
            {
                Bitmap b = new Bitmap(newW, newH);
                Graphics g = Graphics.FromImage(b);

                // 插值算法的质量
                g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.HighQualityBicubic;

                g.DrawImage(bmp, new Rectangle(0, 0, newW, newH), new Rectangle(0, 0, bmp.Width, bmp.Height), GraphicsUnit.Pixel);
                g.Dispose();

                return b;
            }
            catch
            {
                return null;
            }
        }

        public static Bitmap GetReZoomBitmap(Bitmap in_bp)
        {
            Mat src = OpenCvSharp.Extensions.BitmapConverter.ToMat(in_bp);
            Mat dst = new Mat();

            Cv2.AdaptiveThreshold(src, dst, 255, AdaptiveThresholdTypes.MeanC, ThresholdTypes.Binary, 27, 25);

            //绝对缩放,
            Mat dst2 = new Mat();
            int col = dst.Width;//获取原图像的大小
            int rows = dst.Height;
            Cv2.Resize(dst, dst2, new OpenCvSharp.Size(4 * col, 4 * rows), 0, 0, InterpolationFlags.Cubic);

            return OpenCvSharp.Extensions.BitmapConverter.ToBitmap(dst2);
        }


    }


    /// <summary>
    /// 获取当前桌面显示器相关信息，暂未考虑多显示器
    /// </summary>
    static public class MyPrimaryScreen
    {

        #region Win32 API  
        [DllImport("user32.dll")]
        static extern IntPtr GetDC(IntPtr ptr);
        [DllImport("gdi32.dll")]
        static extern int GetDeviceCaps(
        IntPtr hdc, // handle to DC  
                        int nIndex // index of capability  
                        );
        [DllImport("user32.dll", EntryPoint = "ReleaseDC")]
        static extern IntPtr ReleaseDC(IntPtr hWnd, IntPtr hDc);
        #endregion

        #region DeviceCaps常量  
        const int HORZRES = 8;
        const int VERTRES = 10;
        const int LOGPIXELSX = 88;
        const int LOGPIXELSY = 90;
        const int DESKTOPVERTRES = 117;
        const int DESKTOPHORZRES = 118;
        #endregion

        #region 属性  
        /// <summary>  
        /// 获取屏幕分辨率当前物理大小  
        /// </summary>  
        public static System.Drawing.Size WorkingArea
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                System.Drawing.Size size = new System.Drawing.Size();
                size.Width = GetDeviceCaps(hdc, HORZRES);
                size.Height = GetDeviceCaps(hdc, VERTRES);
                ReleaseDC(IntPtr.Zero, hdc);
                return size;
            }
        }

        /// <summary>  
        /// 当前系统DPI_X 大小 一般为96  
        /// </summary>  
        public static int DpiX
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                int DpiX = GetDeviceCaps(hdc, LOGPIXELSX);
                ReleaseDC(IntPtr.Zero, hdc);
                return DpiX;
            }
        }

        /// <summary>  
        /// 当前系统DPI_Y 大小 一般为96  
        /// </summary>  
        public static int DpiY
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                int DpiX = GetDeviceCaps(hdc, LOGPIXELSY);
                ReleaseDC(IntPtr.Zero, hdc);
                return DpiX;
            }
        }

        /// <summary>  
        /// 获取真实设置的桌面分辨率大小  
        /// </summary>  
        public static System.Drawing.Size DESKTOP
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                System.Drawing.Size size = new System.Drawing.Size();
                size.Width = GetDeviceCaps(hdc, DESKTOPHORZRES);
                size.Height = GetDeviceCaps(hdc, DESKTOPVERTRES);
                ReleaseDC(IntPtr.Zero, hdc);
                return size;
            }
        }

        /// <summary>  
        /// 获取宽度缩放百分比  
        /// </summary>  
        public static float ScaleX
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                int t = GetDeviceCaps(hdc, DESKTOPHORZRES);
                int d = GetDeviceCaps(hdc, HORZRES);
                float ScaleX = (float)GetDeviceCaps(hdc, DESKTOPHORZRES) / (float)GetDeviceCaps(hdc, HORZRES);
                ReleaseDC(IntPtr.Zero, hdc);
                return ScaleX;
            }
        }

        /// <summary>  
        /// 获取高度缩放百分比  
        /// </summary>  
        public static float ScaleY
        {
            get
            {
                IntPtr hdc = GetDC(IntPtr.Zero);
                float ScaleY = (float)(float)GetDeviceCaps(hdc, DESKTOPVERTRES) / (float)GetDeviceCaps(hdc, VERTRES);
                ReleaseDC(IntPtr.Zero, hdc);
                return ScaleY;
            }
        }
        #endregion

    }
}