private Bitmap Flatten(Bitmap bmp, int fillint, int contint)
{
ColorFiltering colorFilter = new ColorFiltering();
colorFilter.Red = new IntRange(0, fillint);
colorFilter.Green = new IntRange(0, fillint);
colorFilter.Blue = new IntRange(0, fillint);
colorFilter.FillOutsideRange = false;
using (Bitmap filteredBmp = colorFilter.Apply(bmp))
{
AForge.Imaging.Filters.ContrastCorrection Contrast = new ContrastCorrection(contint);
AForge.Imaging.Filters.Invert invert = new Invert();
AForge.Imaging.Filters.ExtractChannel extract_channel = new ExtractChannel(RGB.B);
AForge.Imaging.Filters.Threshold thresh_hold = new Threshold(44);
Contrast.ApplyInPlace(filteredBmp);
Bitmap extractedBmp = extract_channel.Apply(filteredBmp);
thresh_hold.ApplyInPlace(extractedBmp);
invert.ApplyInPlace(extractedBmp);
return extractedBmp;
}
}
// rgb 필터
public static Bitmap RGBfilter(Bitmap source)
{
///////////// ini 객체 생성 시작 /////////////////////////////////////////////////////
//현재 프로그램이 실행되고 있는정보 가져오기: 디버깅 모드라면 bin/debug/프로그램명.exe
FileInfo exefileinfo = new FileInfo(@"C:\Program Files\PLOCR\PLOCR.exe");
string pathini = exefileinfo.Directory.FullName.ToString(); //프로그램 실행되고 있는데 path 가져오기
string fileName = @"\PLOCRconfig.ini"; // 환경설정 파일명
string filePath = pathini + fileName; //ini 파일 경로
PLOCR.IniUtil ini = new PLOCR.IniUtil(filePath); // 만들어 놓았던 iniUtil 객체 생성(생성자 인자로 파일경로 정보 넘겨줌)
//////////// ini 객체 생성 끝 /////////////////////////////////////////////////////////
int redMin = int.Parse(ini.GetIniValue("색상필터값", "RedMin"));
int redMax = int.Parse(ini.GetIniValue("색상필터값", "RedMax"));
int greenMin = int.Parse(ini.GetIniValue("색상필터값", "GreenMin"));
int greenMax = int.Parse(ini.GetIniValue("색상필터값", "GreenMax"));
int blueMin = int.Parse(ini.GetIniValue("색상필터값", "BlueMin"));
int blueMax = int.Parse(ini.GetIniValue("색상필터값", "BlueMax"));
// create filter
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
filter.Red = new IntRange(redMin, redMax);
filter.Green = new IntRange(greenMin, greenMax);
filter.Blue = new IntRange(blueMin, blueMax);
Bitmap processedImage = filter.Apply(source);
return processedImage;
}
private Bitmap ApplyRGBFilter(Bitmap sourceImage)
{
ColorFiltering filter = new ColorFiltering();
filter.Red = new AForge.IntRange(50, red);
filter.Green = new AForge.IntRange(50, green);
filter.Blue = new AForge.IntRange(50, blue);
Bitmap processedImage = filter.Apply(sourceImage);
filter.ApplyInPlace(processedImage);
return processedImage;
}
void videoSource_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
var frame = eventArgs.Frame;
if (isTesting)
{
var r = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var r1 = r.Apply(frame);
ImageStatistics is0 = new ImageStatistics(r1);
int no = is0.PixelsCountWithoutBlack;
Console.WriteLine(no);
m_pictureBox.Image = r1;
return;
}
var cf1 = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var fi1 = cf1.Apply(frame);
ImageStatistics imageStatistics = new ImageStatistics(fi1);
int numOn = imageStatistics.PixelsCountWithoutBlack;
if (numOn > 10)
{
rawtext += "O";
}
else
{
rawtext += "-";
}
var ar = GetLetters(GuessMorseCode(rawtext)).ToArray();
if (ar.Length != 0)
{
decodedMessage += ar[0];
if (previousDecodedMessageLength != decodedMessage.Length)
{
foreach (var c in decodedMessage)
{
Console.Write(c);
}
Console.WriteLine();
previousDecodedMessageLength = decodedMessage.Length;
}
rawtext = string.Empty;
}
}
// rgb 필터
private Bitmap RGBfilter(Bitmap source)
{
// create filter
ColorFiltering filter = new ColorFiltering();
// set color ranges to keep
filter.Red = new IntRange(redMin, redMax);
filter.Green = new IntRange(greenMin, greenMax);
filter.Blue = new IntRange(blueMin, blueMax);
Bitmap processedImage = filter.Apply(source);
return processedImage;
}
static void videoSource_NewFrame(object sender, NewFrameEventArgs eventArgs)
{
var frame = eventArgs.Frame;
if (m_isTesting)
{
var r = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var r1 = r.Apply(frame);
ImageStatistics is0 = new ImageStatistics(r1);
int no = is0.PixelsCountWithoutBlack;
Console.WriteLine(no);
return;
}
var cf1 = new ColorFiltering(new IntRange(250, 255), new IntRange(250, 255), new IntRange(250, 255));
var fi1 = cf1.Apply(frame);
ImageStatistics imageStatistics = new ImageStatistics(fi1);
int numOn = imageStatistics.PixelsCountWithoutBlack;
if (numOn > 15)
{
m_rawtext += "O";
}
else
{
m_rawtext += "-";
}
Console.Clear();
Console.SetCursorPosition(0, 1);
Console.Write(m_rawtext);
var ar = GetLetters(GuessMorseCode(m_rawtext)).ToArray();
if (ar.Length != 0)
{
foreach(var v in ar)
m_decodedMessage += v;
m_rawtext = string.Empty;
}
string message = "'";
foreach (var c in m_decodedMessage)
{
message += c;
}
message += "'";
Console.SetCursorPosition(0, 4);
Console.Write(message);
}
private void traitementimage(ref Bitmap image)
{
ColorFiltering filter = new ColorFiltering();
filter.Red = new IntRange(254, 255);
filter.Green = new IntRange(0, 240);
filter.Blue = new IntRange(0, 240);
Bitmap tmp = filter.Apply(image);
IFilter grayscale = new GrayscaleBT709();
tmp = grayscale.Apply(tmp);
BitmapData bitmapData = tmp.LockBits(new Rectangle(0, 0, image.Width, image.Height),
ImageLockMode.ReadWrite, PixelFormat.Format8bppIndexed);
BlobCounter blobCounter = new BlobCounter();
blobCounter.ProcessImage(bitmapData);
blobCounter.ObjectsOrder = ObjectsOrder.Size;
Rectangle[] rects = blobCounter.GetObjectsRectangles();
tmp.UnlockBits(bitmapData);
tmp.Dispose();
if (rects.Length != 0)
{
backpoint = Centre(rects[0]);
lignes(ref image, backpoint);
}
}
private void AnaliseMap(Bitmap mapImage)
{
mapData.Clear();
ColorFiltering filter = new ColorFiltering();
Trace.WriteLine("Analysing color map " + mapLocation + "...");
foreach (String action in colorMap.Actions)
{
Color actionColor = colorMap.GetColorFor(action);
filter.Red = new IntRange(actionColor.R, actionColor.R);
filter.Green = new IntRange(actionColor.G, actionColor.G);
filter.Blue = new IntRange(actionColor.B, actionColor.B);
using (Bitmap colorFilteredMapImage = filter.Apply(mapImage))
{
// Once we have isolated the action color on the map image
// we need to find the biggest rectangle left in the map (as there could be noise)
BlobCounter bc = new BlobCounter();
bc.ProcessImage(colorFilteredMapImage);
Rectangle[] rects = bc.GetObjectsRectangles();
if (rects.Count<Rectangle>() == 0) Trace.WriteLine("Warning: No rectangles were found for " + actionColor.ToString());
Rectangle biggestRect = Rectangle.Empty;
foreach (Rectangle rect in rects)
{
// Compare areas
if (rect.Width * rect.Height > biggestRect.Width * biggestRect.Height)
{
biggestRect = rect;
}
}
// Did we find a rectangle?
if (!biggestRect.Equals(Rectangle.Empty) && (biggestRect.Width * biggestRect.Height > MIN_AREA_THRESHOLD))
{
Trace.WriteLine("Found rectangle for " + action + ": " + biggestRect.ToString());
mapData[action] = biggestRect;
}
}
}
}
