public void InitVisualAttentionBitmap()
{
if (this.CurDestBitmap != null)
{
this.CurDestBitmap = VisualAttentionDetectionClass.SalientRegionDetectionBasedOnFT(this.CurDestBitmap);
}
else
{
this.CurDestBitmap = VisualAttentionDetectionClass.SalientRegionDetectionBasedOnFT(srcBitmap);
}
}
/// <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);
}