最近company在做有关AI相关的事情，大概意思是通过训练一系列样本来达到可以自动判读图斑变化。能力有限只能做些比较边缘的工作，比如生成训练样本后，需要对样本做一个人工的评价。
待评价的图片有三样，前期瓦片、后期瓦片以及样本（前后变化部分的图片）。样本的制作也参与过一部分，但是由于其他安排没有进行下去，废话不多说，先介绍如何进行评价（评价依据）：
1、先获取样本图片的边界
2、将边界图片分别和前期后期叠加，切换对比做出判断
接下来进行处理：
前期、后期、变化的图片：
获取样本图片的边界：
private Bitmap GetPicBound(string blackPath)
{
//获取边界
var image = Image.FromFile(blackPath);
Color c1 = new Color();
Color c2 = new Color();
Color c3 = new Color();
Color c4 = new Color();
int i, j;
int rr, gg, bb;
int r1, r2, r3, r4, fxr, fyr;
int g1, g2, g3, g4, fxg, fyg;
int b1, b2, b3, b4, fxb, fyb;
Bitmap box1 = new Bitmap(image);
var save = new Bitmap(box1.Width, box1.Height);
for (i = 0; i <= image.Width - 2; i++)
{
for (j = 0; j <= image.Height - 2; j++)
{
c1 = box1.GetPixel(i, j);
c2 = box1.GetPixel(i + 1, j + 1);
c3 = box1.GetPixel(i + 1, j);
c4 = box1.GetPixel(i, j + 1);
r1 = c1.R;
r2 = c2.R;
r3 = c3.R;
r4 = c4.R;
fxr = r1 - r2;
fyr = r3 - r4;
rr = Math.Abs(fxr) + Math.Abs(fyr) + 128;
if (rr < 0) rr = 0;
if (rr > 255) rr = 255;
g1 = c1.G;
g2 = c2.G;
g3 = c3.G;
g4 = c4.G;
fxg = g1 - g2;
fyg = g3 - g4;
gg = Math.Abs(fxg) + Math.Abs(fyg) + 128;
if (gg < 0) gg = 0;
if (gg > 255) gg = 255;
b1 = c1.B;
b2 = c2.B;
b3 = c3.B;
b4 = c4.B;
fxb = b1 - b2;
fyb = b3 - b4;
bb = Math.Abs(fxb) + Math.Abs(fyb) + 128;
if (bb < 0) bb = 0;
if (bb > 255) bb = 255;
Color cc = new Color();
if (bb == 128)
cc = Color.Transparent;
else
cc = Color.FromArgb(rr, gg, bb);//只保留边界
save.SetPixel(i, j, cc);
}
}
return save;// BitmapToBlack(box1, 0.8);
}效果图：
边界图分别和前期、后期叠加：
private Image getDJImage(Bitmap frontImage, Bitmap background)
{
try
{
float fImage = 0.8f;//透明度
int iwidth = background.Width > frontImage.Width ? background.Width : frontImage.Width;
int iheight = background.Height > frontImage.Height ? background.Height : frontImage.Height;
Bitmap mixImage2 = new Bitmap(iwidth, iheight);
Graphics g = Graphics.FromImage(mixImage2);
float[][] colormatrix ={
new float[]{1,0,0,0,0},//代表了R
new float[]{0,1,0,0,0},//代表了G
new float[]{0,0,1,0,0},//代表了B
new float[]{0,0,0,fImage,0},//代表了A
new float[]{0,0,0,0,1}
};
ColorMatrix cm = new ColorMatrix(colormatrix);
ImageAttributes imageAtt = new ImageAttributes();
imageAtt.SetColorMatrix(cm, ColorMatrixFlag.Default, ColorAdjustType.Bitmap);
g.DrawImage(background, new Point(0, 0));
g.DrawImage(frontImage, new Rectangle(0, 0, frontImage.Width, frontImage.Height), 0, 0, frontImage.Width, frontImage.Height, GraphicsUnit.Pixel, imageAtt);
Image imgDJ = mixImage2;
return imgDJ;
}
catch (Exception ex)
{
WriteLogs("叠加照片失败：" + ex.Message + ex.StackTrace);
MessageBox.Show(ex.Message);
return null;
}
}
代码参考：