c# 如何显示图片指定位置

        private void panel1_Paint(object sender, PaintEventArgs e)
        {
            Rectangle r1 = new Rectangle(0, 0, 100, 40);
            Rectangle r2 = new Rectangle(14, 194, 100, 40);
            e.Graphics.DrawImage(pic, r1, r2, GraphicsUnit.Pixel);
        }

　　

            #region 图片旋转函数
        /// <summary>
        /// 以逆时针为方向对图像进行旋转
        /// </summary>
        /// <param name="b">位图流</param>
        /// <param name="angle">旋转角度[0,360](前台给的)</param>
        /// <returns></returns>
        public Bitmap Rotate(Bitmap b, int angle)
        {
            angle = angle % 360;
            //弧度转换
            double radian = angle * Math.PI / 180.0;
            double cos = Math.Cos(radian);
            double sin = Math.Sin(radian);
            //原图的宽和高
            int w = b.Width;
            int h = b.Height;
            int W = (int)(Math.Max(Math.Abs(w * cos - h * sin), Math.Abs(w * cos + h * sin)));
            int H = (int)(Math.Max(Math.Abs(w * sin - h * cos), Math.Abs(w * sin + h * cos)));
            //目标位图
            Bitmap dsImage = new Bitmap(W, H);
            System.Drawing.Graphics g = System.Drawing.Graphics.FromImage(dsImage);
            g.InterpolationMode = System.Drawing.Drawing2D.InterpolationMode.Bilinear;
            g.SmoothingMode = System.Drawing.Drawing2D.SmoothingMode.HighQuality;
            //计算偏移量
            Point Offset = new Point((W - w) / 2, (H - h) / 2);
            //构造图像显示区域：让图像的中心与窗口的中心点一致
            Rectangle rect = new Rectangle(Offset.X, Offset.Y, w, h);
            Point center = new Point(rect.X + rect.Width / 2, rect.Y + rect.Height / 2);
            g.TranslateTransform(center.X, center.Y);
            g.RotateTransform(360 - angle);
            //恢复图像在水平和垂直方向的平移
            g.TranslateTransform(-center.X, -center.Y);
            g.DrawImage(b, rect);
            //重至绘图的所有变换
            g.ResetTransform();
            g.Save();
            g.Dispose();
            //dsImage.Save("yuancd.jpg", System.Drawing.Imaging.ImageFormat.Jpeg);
            return dsImage;
        }
        #endregion 图片旋转函数

　　

<?php
/**
 * This class can be used to get the most common colors in an image.
 * It needs one parameter:
 * 	$image - the filename of the image you want to process.
 * Optional parameters:
 *
 *	$count - how many colors should be returned. 0 mmeans all. default=20
 *	$reduce_brightness - reduce (not eliminate) brightness variants? default=true
 *	$reduce_gradients - reduce (not eliminate) gradient variants? default=true
 *	$delta - the amount of gap when quantizing color values.
 *		Lower values mean more accurate colors. default=16
 *
 * Author: 	Csongor Zalatnai
 *
 * Modified By: Kepler Gelotte - Added the gradient and brightness variation
 * 	reduction routines. Kudos to Csongor for an excellent class. The original
 * 	version can be found at:
 *
 *	http://www.phpclasses.org/browse/package/3370.html
 *
 */
class GetMostCommonColors
{
	var $PREVIEW_WIDTH    = 150;
	var $PREVIEW_HEIGHT   = 150;

	var $error;

	/**
	 * Returns the colors of the image in an array, ordered in descending order, where the keys are the colors, and the values are the count of the color.
	 *
	 * @return array
	 */
	function Get_Color( $img, $count=20, $reduce_brightness=true, $reduce_gradients=true, $delta=16 )
	{
		if (is_readable( $img ))
		{
			if ( $delta > 2 )
			{
				$half_delta = $delta / 2 - 1;
			}
			else
			{
				$half_delta = 0;
			}
			// WE HAVE TO RESIZE THE IMAGE, BECAUSE WE ONLY NEED THE MOST SIGNIFICANT COLORS.
			$size = GetImageSize($img);
			$scale = 1;
			if ($size[0]>0)
			$scale = min($this->PREVIEW_WIDTH/$size[0], $this->PREVIEW_HEIGHT/$size[1]);
			if ($scale < 1)
			{
				$width = floor($scale*$size[0]);
				$height = floor($scale*$size[1]);
			}
			else
			{
				$width = $size[0];
				$height = $size[1];
			}
			$image_resized = imagecreatetruecolor($width, $height);
			if ($size[2] == 1)
			$image_orig = imagecreatefromgif($img);
			if ($size[2] == 2)
			$image_orig = imagecreatefromjpeg($img);
			if ($size[2] == 3)
			$image_orig = imagecreatefrompng($img);
			// WE NEED NEAREST NEIGHBOR RESIZING, BECAUSE IT DOESN'T ALTER THE COLORS
			imagecopyresampled($image_resized, $image_orig, 0, 0, 0, 0, $width, $height, $size[0], $size[1]);
			$im = $image_resized;
			$imgWidth = imagesx($im);
			$imgHeight = imagesy($im);
			$total_pixel_count = 0;
			for ($y=0; $y < $imgHeight; $y++)
			{
				for ($x=0; $x < $imgWidth; $x++)
				{
					$total_pixel_count++;
					$index = imagecolorat($im,$x,$y);
					$colors = imagecolorsforindex($im,$index);
					// ROUND THE COLORS, TO REDUCE THE NUMBER OF DUPLICATE COLORS
					if ( $delta > 1 )
					{
						$colors['red'] = intval((($colors['red'])+$half_delta)/$delta)*$delta;
						$colors['green'] = intval((($colors['green'])+$half_delta)/$delta)*$delta;
						$colors['blue'] = intval((($colors['blue'])+$half_delta)/$delta)*$delta;
						if ($colors['red'] >= 256)
						{
							$colors['red'] = 255;
						}
						if ($colors['green'] >= 256)
						{
							$colors['green'] = 255;
						}
						if ($colors['blue'] >= 256)
						{
							$colors['blue'] = 255;
						}

					}

					$hex = substr("0".dechex($colors['red']),-2).substr("0".dechex($colors['green']),-2).substr("0".dechex($colors['blue']),-2);

					if ( ! isset( $hexarray[$hex] ) )
					{
						$hexarray[$hex] = 1;
					}
					else
					{
						$hexarray[$hex]++;
					}
				}
			}

			// Reduce gradient colors
			if ( $reduce_gradients )
			{
				// if you want to *eliminate* gradient variations use:
				// ksort( &$hexarray );
				arsort( &$hexarray, SORT_NUMERIC );

				$gradients = array();
				foreach ($hexarray as $hex => $num)
				{
					if ( ! isset($gradients[$hex]) )
					{
						$new_hex = $this->_find_adjacent( $hex, $gradients, $delta );
						$gradients[$hex] = $new_hex;
					}
					else
					{
						$new_hex = $gradients[$hex];
					}

					if ($hex != $new_hex)
					{
						$hexarray[$hex] = 0;
						$hexarray[$new_hex] += $num;
					}
				}
			}

			// Reduce brightness variations
			if ( $reduce_brightness )
			{
				// if you want to *eliminate* brightness variations use:
				// ksort( &$hexarray );
				arsort( &$hexarray, SORT_NUMERIC );

				$brightness = array();
				foreach ($hexarray as $hex => $num)
				{
					if ( ! isset($brightness[$hex]) )
					{
						$new_hex = $this->_normalize( $hex, $brightness, $delta );
						$brightness[$hex] = $new_hex;
					}
					else
					{
						$new_hex = $brightness[$hex];
					}

					if ($hex != $new_hex)
					{
						$hexarray[$hex] = 0;
						$hexarray[$new_hex] += $num;
					}
				}
			}

			arsort( &$hexarray, SORT_NUMERIC );

			// convert counts to percentages
			foreach ($hexarray as $key => $value)
			{
				$hexarray[$key] = (float)$value / $total_pixel_count;
			}

			if ( $count > 0 )
			{
				// only works in PHP5
				// return array_slice( $hexarray, 0, $count, true );

				$arr = array();
				foreach ($hexarray as $key => $value)
				{
					if ($count == 0)
					{
						break;
					}
					$count--;
					$arr[$key] = $value;
				}
				return $arr;
			}
			else
			{
				return $hexarray;
			}

		}
		else
		{
			$this->error = "Image ".$img." does not exist or is unreadable";
			return false;
		}
	}

	function _normalize( $hex, $hexarray, $delta )
	{
		$lowest = 255;
		$highest = 0;
		$colors['red'] = hexdec( substr( $hex, 0, 2 ) );
		$colors['green']  = hexdec( substr( $hex, 2, 2 ) );
		$colors['blue'] = hexdec( substr( $hex, 4, 2 ) );

		if ($colors['red'] < $lowest)
		{
			$lowest = $colors['red'];
		}
		if ($colors['green'] < $lowest )
		{
			$lowest = $colors['green'];
		}
		if ($colors['blue'] < $lowest )
		{
			$lowest = $colors['blue'];
		}

		if ($colors['red'] > $highest)
		{
			$highest = $colors['red'];
		}
		if ($colors['green'] > $highest )
		{
			$highest = $colors['green'];
		}
		if ($colors['blue'] > $highest )
		{
			$highest = $colors['blue'];
		}

		// Do not normalize white, black, or shades of grey unless low delta
		if ( $lowest == $highest )
		{
			if ($delta <= 32)
			{
				if ( $lowest == 0 || $highest >= (255 - $delta) )
				{
					return $hex;
				}
			}
			else
			{
				return $hex;
			}
		}

		for (; $highest < 256; $lowest += $delta, $highest += $delta)
		{
			$new_hex = substr("0".dechex($colors['red'] - $lowest),-2).substr("0".dechex($colors['green'] - $lowest),-2).substr("0".dechex($colors['blue'] - $lowest),-2);

			if ( isset( $hexarray[$new_hex] ) )
			{
				// same color, different brightness - use it instead
				return $new_hex;
			}
		}

		return $hex;
	}

	function _find_adjacent( $hex, $gradients, $delta )
	{
		$red = hexdec( substr( $hex, 0, 2 ) );
		$green  = hexdec( substr( $hex, 2, 2 ) );
		$blue = hexdec( substr( $hex, 4, 2 ) );

		if ($red > $delta)
		{
			$new_hex = substr("0".dechex($red - $delta),-2).substr("0".dechex($green),-2).substr("0".dechex($blue),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}
		if ($green > $delta)
		{
			$new_hex = substr("0".dechex($red),-2).substr("0".dechex($green - $delta),-2).substr("0".dechex($blue),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}
		if ($blue > $delta)
		{
			$new_hex = substr("0".dechex($red),-2).substr("0".dechex($green),-2).substr("0".dechex($blue - $delta),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}

		if ($red < (255 - $delta))
		{
			$new_hex = substr("0".dechex($red + $delta),-2).substr("0".dechex($green),-2).substr("0".dechex($blue),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}
		if ($green < (255 - $delta))
		{
			$new_hex = substr("0".dechex($red),-2).substr("0".dechex($green + $delta),-2).substr("0".dechex($blue),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}
		if ($blue < (255 - $delta))
		{
			$new_hex = substr("0".dechex($red),-2).substr("0".dechex($green),-2).substr("0".dechex($blue + $delta),-2);
			if ( isset($gradients[$new_hex]) )
			{
				return $gradients[$new_hex];
			}
		}

		return $hex;
	}
}
?>