public static byte[] ZFTIamgeStreatcher(byte[] imageBytes, int maxGray, int minGray)
{
int length = imageBytes.Length;
byte[] newImageBytes = new byte[length];
Histogram his = new Histogram(imageBytes);
HistogramValue[] hisv = his.GetHistogramValue();
int fj = hisv.Length;
if (maxGray - minGray < fj)
{
return(null);
}
HistogramValue[] hisv1 = new HistogramValue[hisv.Length];
hisv1 = GetPLMDandPaixuHisValue(hisv);
ZFTJH[] zftjh = new ZFTJH[fj];
int jiange = (maxGray - minGray) / fj;
double jiangemd = 1.0 / fj;
ZFTJH z = new ZFTJH();
zftjh[0] = z;
zftjh[0].Gray = (byte)minGray;
zftjh[0].Ljmd = jiangemd;
for (int i = 1; i < fj - 1; i++)
{
z = new ZFTJH();
zftjh[i] = z;
zftjh[i].Gray = (byte)(minGray + i * jiange);
zftjh[i].Ljmd = (i + 1) * jiangemd;
}
if (fj > 2)
{
z = new ZFTJH();
zftjh[fj - 1] = z;
zftjh[fj - 1].Gray = (byte)maxGray;
zftjh[fj - 1].Ljmd = 1;
}
Dictionary <byte, byte> dic = ZFTStreatcher(hisv, zftjh);
for (int i = 0; i < length; i++)
{
byte b = imageBytes[i];
newImageBytes[i] = dic[imageBytes[i]];
}
return(newImageBytes);
}
/// <summary>
/// 得到每个像素值以及相对应的频率及频数
/// </summary>
/// <param name="bytes">图像数据</param>
/// <returns></returns>
private List <HistogramValue> GetHistorgramCountandProbability(byte[] bytes)
{
int Length = bytes.Length;
List <HistogramValue> hiss = new List <HistogramValue>();
HistogramValue his = new HistogramValue(bytes[0]);
his.Count++;
hiss.Add(his);
for (int i = 1; i < Length; i++)
{
bool NoAdd = true;
foreach (HistogramValue item in hiss)
{
if (item.Value == bytes[i])
{
item.Count++;
NoAdd = false;
continue;
}
}
if (NoAdd)
{
HistogramValue h = new HistogramValue(bytes[i]);
h.Count++;
hiss.Add(h);
NoAdd = true;
}
}
foreach (var item in hiss)
{
item.Probability = (item.Count * 1.0) / Length;
}
return(hiss);
}
/// <summary>
/// 对每个灰度级进行排序并得到其累计频率
/// </summary>
/// <param name="hisv">在直方图中的灰度级类</param>
/// <returns></returns>
private static HistogramValue[] GetPLMDandPaixuHisValue(HistogramValue[] hisv)
{
int length = hisv.Length;
double LJPL = 0;//累计频率
for (int i = 0; i < length; i++)
{
for (int j = i + 1; j < length; j++)
{
if (hisv[i].Value > hisv[j].Value)//利用冒泡排序对灰度级进行从小到大排序
{
HistogramValue h = hisv[i];
hisv[i] = hisv[j];
hisv[j] = h;
}
}
}
for (int i = 0; i < length; i++)
{
LJPL += hisv[i].Probability;//对排好序的灰度级频率累加，得到累计频率
hisv[i].Plmd = LJPL;
}
return(hisv);
}
