/// <summary>
/// 对点集进行排序
/// </summary>
/// <param name="workPointHist">工作样本点集</param>
/// <param name="distingPointHist">对比样本点集</param>
/// <param name="rect">搜索区域</param>
/// <param name="whtPoint">输出根据区分度排好序的白点</param>
/// <param name="blcPoint">输出根据区分度排好序的黑点</param>
/// <returns></returns>
private static void PointSort(short[][][] workPointHist, short[][][] distingPointHist, Rectangle rect, ref ArrayList whtPoint, ref ArrayList blcPoint)
{
for (int h = rect.Top + IntellPointConfig.SearchSize; h < rect.Bottom - IntellPointConfig.SearchSize; h++)
{
for (int w = rect.Left + IntellPointConfig.SearchSize; w < rect.Right - IntellPointConfig.SearchSize; w++)
{
PointDisc whtPointDisc = new PointDisc();
PointDisc blcPointDisc = new PointDisc();
GetDiscrimination(workPointHist[h][w], distingPointHist[h][w], ref whtPointDisc, ref blcPointDisc);
whtPointDisc.x = blcPointDisc.x = (short)w;
whtPointDisc.y = blcPointDisc.y = (short)h;
whtPoint.Add(whtPointDisc);
blcPoint.Add(blcPointDisc);
}
}
RandomArrayList(ref whtPoint);
RandomArrayList(ref blcPoint);
whtPoint.Sort();
blcPoint.Sort();
}
/// <summary>
/// 两个点之间可区分度的关键函数(算法性能主要改动这个函数)
/// 本算法为类叶贝斯分类
/// </summary>
/// <param name="workhist">工作点的灰度分布情况</param>
/// <param name="distinghist">区分点的灰度分布情况</param>
/// <returns></returns>
private static void GetDiscrimination(short[] workhist, short[] distinghist, ref PointDisc whtPointDisc, ref PointDisc blcPointDisc)
{
int whtDisc = 0; int blcDisc = 0;
//统计
int workCount = 0, distCount = 0;
for (int i = 0; i < 256; i++ )
{
workCount += workhist[i];
distCount += distinghist[i];
}
if (workCount <=0 || distCount <=0)
{
whtDisc = 0;
blcDisc = 0;
return;
}
short whtThr = 0;
short blcThr = 255;
GetThr(workhist, workCount, ref whtThr, ref blcThr);
//计算distPoint的误判数
int whtErrCount = 0;
for (int i = whtThr; i >= 0; i-- )
{
whtErrCount += distinghist[i];
}
int blcErrCount = 0;
for (int i = blcThr; i < 256; i++ )
{
blcErrCount += distinghist[i];
}
//计算distPoint和workPoint的灰度差异
short up = 0; short down = 0;
GetUpAndDown(distinghist, distCount, ref up, ref down);
short whtGrayDiff = (short)(whtThr - up);
short blcGrayDiff = (short)(down - blcThr);
//distPoint的误判个数
whtDisc = (int)((double)30000 * (whtErrCount) / (double)distCount);
blcDisc = (int)((double)30000 * (blcErrCount) / (double)distCount);
if (IntellPointSel.IntellPointConfig.ClassMode == ConfigClassMode.GrayDiff)
{
whtDisc = whtDisc * 256 + whtGrayDiff;
blcDisc = blcDisc * 256 + blcGrayDiff;
}
whtPointDisc.g = whtThr;
blcPointDisc.g = blcThr;
whtPointDisc.disc = whtDisc;
blcPointDisc.disc = blcDisc;
}
