/// <summary>
/// 获取歌曲中前1Mbt中包含的图片，并返回
/// </summary>
public BitmapImage GetJPGFromStream(SongInfo songInfo, int PixelWidth = 0, int PixelHeight = 0)
{
MemoryStream ms = null;
try
{
BitmapImage image = new BitmapImage();
byte[] buffer = GetJPGBuffer(songInfo, 10240);
if (buffer != null)
{
ms = new MemoryStream(buffer);
}
image.BeginInit();
image.CacheOption = BitmapCacheOption.OnLoad;
image.StreamSource = ms;
try
{
try
{
image.EndInit();
}
catch (NotSupportedException)
{
MemoryStream saveStream = new MemoryStream();
if (!BasicMethodClass.MakeThumbnail(ms, saveStream, 602, 602, "W", "jpg"))
{
return(null);
}
saveStream.Seek(0, SeekOrigin.Begin);
image.BeginInit();
image.CacheOption = BitmapCacheOption.OnLoad;
image.StreamSource = saveStream;
image.EndInit();
saveStream.Dispose();
}
}
catch (Exception)
{
return(null);
}
if (PixelWidth != 0)
{
image.DecodePixelWidth = PixelWidth;
}
if (PixelHeight != 0)
{
image.DecodePixelHeight = PixelHeight;
}
return(image);
}
catch { return(null); }
finally {
if (ms != null)
{
ms.Dispose();
}
}
}
/// <summary>
/// 获取显著图片
/// </summary>
/// <param name="filepath">图片文件流</param>
/// <param name="prewidth">预处理后的宽</param>
/// <param name="preheight">预处理后的高</param>
/// <param name="premode">预处理时的压缩方式</param>
/// <param name="pretype">预处理图片后的类型</param>
/// <param name="R">最终切割大小</param>
/// <param name="Tolerance">切割阙值（切图时判断是否连续的亮度边界，越大越严格）</param>
/// <returns></returns>
public Bitmap GetSRDFromStream(Stream InImageStream,
double prewidth, double preheight, string premode, string pretype,
Rectangle R,
int Tolerance = 200)
{
if (R == null)
{
R = new System.Drawing.Rectangle(0, 0, 256, 256);
}
MemoryStream ms_out = new MemoryStream();
Bitmap Srcbitmap = new Bitmap(InImageStream);
//压缩尺寸以加快速度
BasicMethodClass.MakeThumbnail(Srcbitmap, ms_out, Math.Min(prewidth, Srcbitmap.Width), Math.Min(preheight, Srcbitmap.Height), premode, pretype);
if (InImageStream == null)
{
throw new Exception("not expectation result");
}
if (ms_out == null)
{
return(null);
}
var vdcSrcBitmap = new Bitmap(ms_out);
ms_out.Dispose();
var vdcmap = VisualAttentionDetectionClass.SalientRegionDetectionBasedOnFT(vdcSrcBitmap);
if (R.Width > Srcbitmap.Width || R.Height > Srcbitmap.Height)
{//格式化输出图片尺寸
ms_out = new MemoryStream();
BasicMethodClass.MakeThumbnail(Srcbitmap, ms_out, R.Width, R.Height, premode, pretype);
Srcbitmap.Dispose();
Srcbitmap = new Bitmap(ms_out);
ms_out.Dispose();
}
CutImageClass cuter = new CutImageClass(vdcmap, R, Tolerance);
var GenerImage = cuter.GCSsimp_getLightPointFromSource(Srcbitmap);
vdcSrcBitmap.Dispose();
vdcmap.Dispose();
Srcbitmap.Dispose();
return(GenerImage);
}
/// <summary>
/// 获取主色调
/// </summary>
/// <param name="bitmap"></param>
/// <returns></returns>
public static Color GetMajorColor(Bitmap bitmap)
{
Rectangle R;
R = new System.Drawing.Rectangle(0, 0, 256, 256);
MemoryStream ms_out = new MemoryStream();
BasicMethodClass.MakeThumbnail(bitmap, ms_out, 600, 200, "W", "jpg");
var srcBitmap = new Bitmap(ms_out);
//var DH = new DominantHue(srcBitmap).GetDominantHue(0.5, 0.65, 210);
var DH = new DominantHue(srcBitmap).GetDominantHue(0.4, 0.55, 50);
ms_out.Dispose();
srcBitmap.Dispose();
return(DH);
}
public static CutImageClass MakeThumbnail(this CutImageClass cutImageClass, int width, int height, string mode = "W")
{
if (cutImageClass.CurDestBitmap == null)
{
cutImageClass.CurDestBitmap = BasicMethodClass
.MakeThumbnail(cutImageClass.srcBitmap, width, height, mode, "jpg");
}
else
{
cutImageClass.CurDestBitmap = BasicMethodClass
.MakeThumbnail(cutImageClass.CurDestBitmap, width, height, mode, "jpg");
}
cutImageClass.curDestImageWidth = cutImageClass.CurDestBitmap.Width;
cutImageClass.curDestImageHeight = cutImageClass.CurDestBitmap.Height;
//mss.Dispose();
return(cutImageClass);
}
