/// <summary>
/// 初始化
/// </summary>
/// <param name="width">图像宽</param>
/// <param name="height">图像高</param>
/// <returns></returns>
public bool InitAlgorithm(Int32 width, Int32 height)
{
this.Width = 4000;
this.Height = 3000;
//初始化清晰度的算法
MvSSharpnessMeasureChannelParam smChannelParam = MvSSharpnessMeasureChannelParam.GetInstance();
smChannelParam.imgWidth = Width;
smChannelParam.imgHeight = Height;
int memSize = MVSHARP.sharpnessMeasureCalMemSize(ref smChannelParam);
MvBarCodeGlobalVar.Log.InfoFormat("sharpnessMeasureCalMemSize :{0}", memSize.ToString());
m_handle = Marshal.AllocHGlobal(memSize);
int result = MVSHARP.sharpnessMeasureInit(m_handle, ref smChannelParam);
MvBarCodeGlobalVar.Log.InfoFormat("sharpnessMeasureInit return :{0}", result.ToString());
if (result > memSize)
{
MVSHARP.sharpnessMeasureExit(m_handle);
//记下错误日志
//log.ErrorFormat("算法需要的内存{0}比最大支持的内存{1}大，此图片不进行清晰度", result, memSize);
}
return(true);
}
public static MvSSharpnessMeasureChannelParam GetInstance()
{
MvSSharpnessMeasureChannelParam param = new MvSSharpnessMeasureChannelParam();
param.imgWidth = 0;
param.imgHeight = 0;
param.reserve = new IntPtr[MVConst.Len_30];
return(param);
}
public static extern int sharpnessMeasureCalMemSize(ref MvSSharpnessMeasureChannelParam param);
public static extern int sharpnessMeasureInit(IntPtr handle, ref MvSSharpnessMeasureChannelParam param);
