private void NormalizeToPalette()
{
try
{
using (Bitmap originalImage = new Bitmap(picOriginal.Image))
{
// Can't generate the rendered image here in a using statement as the image will be null in future repaints of the picturebox
Bitmap renderedImage = new Bitmap(originalImage.Width, originalImage.Height);
for (int x = 0; x < originalImage.Width; x++)
{
for (int y = 0; y < originalImage.Height; y++)
{
Color color = originalImage.GetPixel(x, y);
// Skip transparent
if (color.A == 0)
{
renderedImage.SetPixel(x, y, color);
}
else
{
ColorTuple tup = color.ClosestColor(palette);
renderedImage.SetPixel(x, y, tup.ColorValue);
}
}
}
picRendered.Image = renderedImage;
}
}
catch (Exception ex)
{
}
}
public CustomPanel(int x, int y, ColorTuple tuple)
{
X = x;
Y = y;
PaletteItem = tuple;
//BackColor = tuple.ColorValue;
BorderStyle = BorderStyle.FixedSingle;
}
public ColorTuple getRandomColor()
{
int idx = Random.Range(0, 10);
ColorTuple T = new ColorTuple();
T.color = possibleColors[idx];
T.index = idx;
return(T);
}
public void ChangeColor()
{
colorIndex = ((colorIndex < colors.Count - 1) ? colorIndex + 1 : 0);
selectedColor = colors [colorIndex];
GetComponent <MeshRenderer> ().sharedMaterial.mainTexture = gradientTexture;
for (int i = 0; i < gradientTexture.width; i++)
{
//Debug.Log (i / (float)gradientTexture.width);
gradientTexture.SetPixel(i, 0, Color.Lerp(selectedColor.colorL, selectedColor.colorR, i / (float)gradientTexture.width));
}
gradientTexture.Apply();
//Camera.main.backgroundColor = selectedColor.colorL;
}
/// <summary>
/// 将颜色相近的像素连接成连通分量，根据每个联通分量的性质判断是否是文字
/// 默认假设浅色文字周围有深色的边框，否则需要反转
/// </summary>
/// <param name="b"></param>
/// <param name="reversed">false:浅色文字，深色边框/背景，true:深色文字，浅色边框/背景</param>
/// <returns></returns>
public static Bitmap Process(Bitmap b, bool reversed)
{
int width = b.Width;
int height = b.Height;
float[,,] pixel = new float[width, height, 3];
int[,] selected = new int[width, height];
//把像素值转换成0-1之间的浮点数，存入pixel
NormalizeBitmap(b, pixel, reversed);
//将颜色相近的像素合并成色块，并去掉和图片边缘相邻的所有色块（假设文字在图片内部）
//注：此时还不知道文字是什么颜色的
//将那些最有可能是文字的色块所包含的像素坐标存入textPixels
int[,] components = new int[width, height];
List <(int, int)> textPixels = new List <(int, int)>();
List <int> validLevels = new List <int>();
int cur = 1;
//先遍历边缘，再遍历中间
for (int x = 0; x < width; x++)
{
if (components[x, 0] == 0)
{
VisitComponent(x, 0, cur, components, pixel, textPixels, validLevels, true);
}
if (components[x, height - 1] == 0)
{
VisitComponent(x, height - 1, cur, components, pixel, textPixels, validLevels, true);
}
}
for (int y = 1; y < height - 1; y++)
{
if (components[0, y] == 0)
{
VisitComponent(0, y, cur, components, pixel, textPixels, validLevels, true);
}
if (components[width - 1, y] == 0)
{
VisitComponent(width - 1, y, cur, components, pixel, textPixels, validLevels, true);
}
}
++cur;
for (int x = 1; x < width - 1; x++)
{
for (int y = 1; y < height - 1; y++)
{
if (components[x, y] == 0)
{
VisitComponent(x, y, cur, components, pixel, textPixels, validLevels, false);
++cur;
}
}
}
//判断文字宽度的范围
double meanLevel = validLevels.Average(), levelDistSum = 0;
foreach (var lv in validLevels)
{
levelDistSum += (lv - meanLevel) * (lv - meanLevel);
}
double levelStddev = Math.Sqrt(levelDistSum / Math.Max(1, validLevels.Count));
int minLevel = 2, maxLevel = 3, levelThresh = (int)Math.Round(meanLevel + 2.5 * levelStddev);
foreach (var lv in validLevels)
{
if (lv <= levelThresh)
{
maxLevel = Math.Max(maxLevel, lv + 2);
}
}
int minSize = 5;
//假设上一步找到的像素中大部分都属于文字
//由于第一轮寻找的条件相对苛刻，很难保证找到所有文字像素，所以我们需要第二轮寻找
//找出这些像素颜色的近似（加权）几何中位数，以及标准差
//我们猜测这个几何中位数就是文字的颜色
float stddiv;
ColorTuple median = GeometricMedian(textPixels, pixel, out stddiv);
float radius = Math.Min(1.1f * stddiv, 0.3f);
radius = Math.Max(radius, 0.1f);
//把颜色接近几何中位数的所有像素标记为疑似文字像素（标为1），去除其他像素（标为0）
//标为1的像素之间互相是联通的
Relabel(pixel, components, median, radius);
for (int x = 0; x < width; x++)
{
for (int y = 0; y < height; y++)
{
//遍历所有可能是文字的色块
if (components[x, y] == 1)
{
List <(int, int)> visited = new List <(int, int)>();
bool isBorder = false;
List <(int, int)> boundary = ComputeBoundary(median, x, y, 2,
pixel, components, visited, out isBorder);
//如果当前色块与边界接壤，则舍弃
if (!isBorder)
{
int level = ComputeLevelWithBoundary(boundary, components[x, y], maxLevel, components);
//如果当前色块的宽度/大小符合要求，则记录，否则舍弃
if ((visited.Count >= minSize || level >= minLevel) && level <= maxLevel)
{
foreach (var t in visited)
{
selected[t.Item1, t.Item2] = 1;
}
}
}
}
}
}
//将记录下来的色块标为白色，其他标为黑色
return(SelectedThreshold(b, selected));
}
//TODO : Add commandline args handling
static void Main(string[] args)
{
/*
* 1. Open the palette and create a dictionary of name, color
* 2. Open image and iterate over all pixels, across columns, then rows
* 3. For each pixel, resolve into nearest color from palette and add to the order sheet
* NOTE : Transparent pixels don't enter into the count
*/
string srcImage = "test.png";
string srcPalette = "colours.csv";
string outImage = "paletteAdjusted.png";
Dictionary <string, Color> palette = PaletteProcessor.CreatePalette(srcPalette);
Dictionary <string, int> orderSheet = new Dictionary <string, int>();
using (Bitmap src = new Bitmap(srcImage))
{
using (Bitmap tar = new Bitmap(src.Width, src.Height))
{
for (int x = 0; x < src.Width; x++)
{
for (int y = 0; y < src.Height; y++)
{
Color color = src.GetPixel(x, y);
// Skip transparent
if (color.A == 0)
{
tar.SetPixel(x, y, color);
}
else
{
ColorTuple tup = color.ClosestColor(palette);
if (!orderSheet.ContainsKey(tup.Name))
{
orderSheet.Add(tup.Name, 1);
}
else
{
orderSheet[tup.Name]++;
}
tar.SetPixel(x, y, tup.ColorValue);
}
}
}
//Dump the ordersheet
StringBuilder sb = new StringBuilder();
foreach (string name in orderSheet.Keys)
{
sb.AppendFormat("{0}: {1}\r\n", name, orderSheet[name]);
}
File.WriteAllText("OrderSheet.txt", sb.ToString());
tar.Save(outImage, src.RawFormat);
}
}
}
