ObjectHeader::ObjectHeader(){
m_Alias =0;
m_Name = _T("NAME");
m_Type = LOCAL_SPACE;
m_hIcon = NULL;
m_Title = _T("Space unconnected!");
SetAreaSize(350,42);
m_crText = SS.crBrainViewItemText;
};
CLogicView::CRefItem::CRefItem(tstring RefName, tstring WhoRef){
m_RefName = RefName;
m_WhoRef = WhoRef;
SetAreaSize(300,20);
};
CLogicView::CRefItem::CRefItem(){
SetAreaSize(300,20);
};
CLogicView::CLogicLabel::CLogicLabel(int32 TypeID,tstring Name,HICON hIcon){
m_Alias = TypeID;
m_Name=Name;
m_hIcon = hIcon;
SetAreaSize(300,20);
};
ObjectItem::ObjectItem(int64 ID,tstring& Name,SPACETYPE Type, tstring& Fingerprint,HICON hIcon)
:CVSpace2(ID),m_Name(Name),m_Type(Type),m_Fingerprint(Fingerprint),m_hIcon(hIcon)
{
SetAreaSize(350,22);
};
CMemoryView::CTextItem::CTextItem(int Index,int64 ID,tstring Text)
:CVSpace2(ID),m_Index(Index),m_Text(Text){
SetAreaSize(200,20);
}
CMemoryView::CTitle::CTitle(int64 ID, const tstring& Name)
:CVSpace2(ID),m_Text(Name.c_str())
{
m_ObjectCount = 0;
SetAreaSize(200,20);
}
//包含了最小值和最大值的4邻域边界跟踪细胞
void ImageViewer::FourAreaTrackPlasm(int minvalue, int maxvalue)
{
double m_dCellCompact;//细胞紧凑度
int m_iCellArea; //细胞面积
int m_iCellPerimeter; //细胞周长
Boud_List *m_lp4AreaCellBoudList; //保存4邻域跟踪后的链表信息，
//该链表存储每个细胞构成像素点的所有坐标
int i,j,m;
int Min_Round = minvalue;
int Max_Round = maxvalue;
//起始点
int StartX,StartY;
//当前点
int CurrentX,CurrentY;
//前一点
int PrevX,PrevY;
//用来标定当前点的正上方和左边的点
int fup,fleft;
//该数组用来标定每一点所属的区域
short img_label[240][320];
short img[240][320];
//建立一个数组，用来判断图象中的点是否已经被选择为边界点,为真就是边界点，否则不是边界点
bool boudary_points[240][320];
//用来标记边界的个数
int label;
//法线方向
int BeginDirection;
//边界点的个数
int NumPoint;
//四邻域方向
//当前的邻域方向如图
// 3
// ^
// |
// 2<----当前点----> 0
// |
// V
// 1
int Direction1[4][2] ={{0,1},{1,0},{0,-1},{-1,0}};
//基本信息的初始化
//可以考虑把图像分割为多个子图像，然后每个子图像分别进行轮廓的提取
//图象的宽度和高度
long lHeight,lWidth;
lHeight = m_dwHeight;
lWidth = m_dwWidth;
label = 1;
unsigned char *lpImage=NULL;//指向图像像素的指针
long lLineBytes = LineBytes;
//需要把数字图象首先灰度化，然后进行阀值分割，再进行腐蚀掉小的噪声点，最后进行边界跟踪
for(i=0;i<lHeight;i++)
{
for(j=0;j<lWidth;j++)
{
lpImage=m_pImage+lLineBytes*(lHeight-1-i)+j;
img[i][j] = *lpImage;//转存到二维数组中
img_label[i][j] = 0;//所有点都尚未标识区域
boudary_points[i][j] = false;//尚无边界点
if(img[i][j]==0)//黑点
{
if(i==0&&j!=0&&j!=319)//第1行，除了最左上角和最右上角的点
{
fup=255;//白点
fleft=img[i][j-1];
}
if(j==0&&i!=0&&i!=239)//第1列，除了最左上角和最左下角的点
{
fleft=255;//白点
fup = img[i-1][j];
}
if(i!=0&&j==319&&i!=239)//最后1列，除了最右上角和最右下角的点
{
fleft = img[i][j-1];
fup = img[i-1][j];
}
if(i==239&&j!=0&&j!=319)//最后1行，除了最左下角和最右下角的点
{
fleft = img[i][j-1];
fup = img[i-1][j];
}
if(i==0&&j==0)//最左上角的点
{
fleft=255;//白点
fup=255;//白点
}
if(i!=0&&j!=0&&i!=239&&j!=319)//中间点
{
fup = img[i-1][j];
fleft = img[i][j-1];
}
if(i==0&&j==319)//最右上角的点
{
fup = 255;
fleft = img[i][j-1];
}
if(j==0&&i==239)//最左下角点
{
fup = img[i-1][j];
fleft = 255;
}
if(j==319&&i==239)//最右下角点
{
fup = img[i-1][j];
fleft = img[i][j-1];
}
if(fup==fleft&&fup==0)
img_label[i][j] = img_label[i-1][j];//up point
if(fleft==0&&fup==255)
img_label[i][j] = img_label[i][j-1];//left point
if(fleft==255&&fup==0)
img_label[i][j] = img_label[i-1][j];//up point
if(fup==fleft&&fup==0&&img_label[i-1][j]==img_label[i][j-1])
img_label[i][j] = img_label[i-1][j];
if(fup==fleft&&fup==255)//new area point
{
img_label[i][j]=label;//new area label
label++;//label add 1
}
if(fup==fleft&&fup==0&&img_label[i-1][j]!=img_label[i][j-1])//标号往小值赶
{
if(img_label[i-1][j]>=img_label[i][j-1])//up > left
{
img_label[i][j]=img_label[i][j-1];//left point
img_label[i-1][j]=img_label[i][j-1];//up point = left point
}
else//up < left
{
img_label[i][j]=img_label[i-1][j];//up point
img_label[i][j-1]=img_label[i-1][j];//left point = up point
}
}
}
}
}
//获取第1次得到的区域的个数，这个值偏大
int Max_label = label;
//定义一个数组存放每个区域的起点的坐标
//这个数组的大小要动态确定
int start_point[76800][2];
int *label_kind;
label_kind = (int *)malloc((label + 1) * sizeof(int));
int *area_point;
area_point = (int *)malloc((label + 1) * sizeof(int));
//这个数组用来计算区域的个数
for(m=0;m<label+1;m++)
{
label_kind[m] = 0;
area_point[m] = 0;
}
//顺序记录区域起点的坐标
int flag=1;
//标定区域的实际个数以及每个区域的起始坐标点
//这个算法的运算量太大
for(i=0;i<=239;i++)
{
for(j=0;j<=319;j++)
{
for(m=0;m<=Max_label;m++)
{
//物体点且标号值存在,必然是从小到大
if(m==img_label[i][j]&&img[i][j]==0)
{
if(label_kind[m]==0)//第1次发现这种标号
{
//记录下的坐标
start_point[flag][0]=i;
start_point[flag][1]=j;
flag++;//顺序前移
}
label_kind[m]++;//累加此种类型标号的数量
break;
}
}
}
}
//用来保存区域的面积的大小
int *area_size;
area_size = (int *)malloc((Max_label + 1) * sizeof(int));
//计算区域的个数,这个区域数目也并非是真正的数目,其中有一些在物体中，
//但和其他点的label不一样的点
label=0;
for(m=0;m<=Max_label;m++)
{
if(label_kind[m]>0)//该区域存在
{
label++;//区域数累加,it's not real label
}
area_size[m]=0;//every area's area is 0
}
//有多少个区域就要扫描多少次,注意它是从1开始的
int scan_times=1;
//用来移动数组area_point的指针
int count=1;
//用来计算所有区域的边界点的个数
int total_points=0;
int real_label;
//对每一个区域分别进行4邻域的边界跟踪
//armstrong added 把每个封闭区域的头链接起来
Boud_List *listhead;
listhead = (Boud_List *)malloc(sizeof(Boud_List));
listhead->lnext = NULL;
listhead->phead = NULL;
//armstrong added 把每个封闭区域的头链接起来
//这一段程序的耗时最多
while(scan_times<=label)
{
//找到开始点
StartX = start_point[scan_times][0];
StartY = start_point[scan_times][1];
//表示该区域不在其他区域之中，为独立区域，且从一个物体点开始
if(label_kind[img_label[StartX][StartY]]>0&&img[StartX][StartY]==0)
{
boudary_points[StartX][StartY] = true;//开始点是边界点
NumPoint = 1;//当前边界点个数
//armstrong added 创建链表 11-10
Boudary *head,*PrevP,*CurrentP,*pnew,*p;
head = (Boudary *)malloc(sizeof(Boudary));
//此处一定要这样处理,因为在数组中存放是逐行再逐列,数组中的行其实就是实际像素点所在的列,
//而数组中的列其实就是实际像素所在的行
head->x = StartY;
head->y = StartX;
head->next = NULL;
head->head = head;
//armstrong added 创建链表 11-10
//找到边界的第2点
for(i=0; i<4; i++)
{
if(img[StartX+Direction1[i][0]][StartY+Direction1[i][1]]==0)//非空白点
{
CurrentX = StartX+Direction1[i][0];//记录当前点的坐标
CurrentY = StartY+Direction1[i][1];
boudary_points[CurrentX][CurrentY] = true;//第2点也是边界点
NumPoint++;//边界点个数递增
//armstrong added 11-10
p = (Boudary *)malloc(sizeof(Boudary));
p->x = CurrentY;
p->y = CurrentX;
head->next = p;//和第1个结点链接起来
p->next = NULL;
p->head = head;
//armstrong added 11-10
break;
}
}
//最初的开始点
PrevX = StartX;
PrevY = StartY;
//armstrong added 11-10
PrevP = (Boudary *)malloc(sizeof(Boudary));
PrevP = head; //开始扫描前，前一个结点指向head结点
CurrentP = (Boudary *)malloc(sizeof(Boudary));
CurrentP = p; //开始扫描前，当前结点指向第2个结点
//armstrong added 11-10
//找其他的边界点
if(i==4)
{
//该起始点是孤立点，请重新选择起点
}
else
{
while(1)//当找到起点
{
//边界已经闭合
if((CurrentX == StartX)&&(CurrentY == StartY))
{
//边界跟踪成功完毕,要求记录此时区域的边界点的个数
//边界点周长大于预设值
if(NumPoint>Min_Round && NumPoint<Max_Round)
{
total_points = total_points + NumPoint;
//这个数组中具体存放每个区域的周长
area_point[count] = NumPoint;
count++;
//armstrong added 把每个封闭区域的头链接起来
if(listhead->lnext==NULL)//只有头结点
{
Boud_List *blist;
blist = (Boud_List *)malloc(sizeof(Boud_List));
listhead->lnext = blist;//让头结点指向第1个结点
blist->phead = head;//第1个结点指向的第1个封闭区域的头结点
blist->lnext = NULL;
}
else//已经超过1个结点
{
Boud_List *blist,*newlist;
blist = (Boud_List *)malloc(sizeof(Boud_List));
blist = listhead;
while(blist->lnext)//检索链表，直到某个结点的lnext为空
{
blist = blist->lnext;
}
newlist = (Boud_List *)malloc(sizeof(Boud_List));
blist->lnext = newlist;//将该结点加入到链表的尾部
newlist->phead = head;//并将该结点指向当前封闭区域的头结点
newlist->lnext = NULL;
}
//armstrong added 把每个封闭区域的头链接起来
// break;
}
break;
}
else//找下一个边界点
{
//首先确定当前标准方向的外法线方向
if((CurrentX ==PrevX)&&(CurrentY ==(PrevY+1)))
BeginDirection = 3;//方向3
if((CurrentX ==PrevX)&&(CurrentY ==(PrevY-1)))
BeginDirection = 1;//方向1
if((CurrentX ==(PrevX+1))&&(CurrentY ==PrevY))
BeginDirection = 0;//方向0
if((CurrentX ==(PrevX-1))&&(CurrentY ==PrevY))
BeginDirection = 2;//方向2
i=BeginDirection;//记录开始扫描方向
while(1)
{
//外法线的方向为优先考虑
if(img[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]]==0&&CurrentX+Direction1[i][0]>=0&&CurrentX+Direction1[i][0]<240&&CurrentY+Direction1[i][1]>=0&&CurrentY+Direction1[i][1]<320)
{
//如果这个点尚未选中，即新的当前点是边界点
if(!boudary_points[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]])
{
//该点是目标点
boudary_points[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]] = true;
//如果当前点的label值和四邻域中的点的label值不等，则校正四邻域中点label的值
//并且置这种label的个数的值为0
if(img_label[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]]!=img_label[CurrentX][CurrentY])
{
//留着再扫描一遍，如果这个值变成了0，则相应的label值要变
//记录需要修正的label值，将要更新的值直接给label_kind;
//以后在扫描时，只要把这个值取反即可
if(img_label[CurrentX][CurrentY] < img_label[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]])
{
label_kind[img_label[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]]] = -img_label[CurrentX][CurrentY];
//当前边界点的label值立即被更新
img_label[CurrentX+Direction1[i][0]][CurrentY+Direction1[i][1]] = img_label[CurrentX][CurrentY];
}
}
//armstrong added 11-10
pnew = (Boudary *)malloc(sizeof(Boudary));
pnew->x = CurrentY+Direction1[i][1];
pnew->y = CurrentX+Direction1[i][0];
pnew->next = NULL;
pnew->head = head;
CurrentP->next = pnew;//把它加入到当前链表的尾部
PrevP = CurrentP;//更新前一个结点指针
CurrentP = pnew;//更新当前结点指针
//armstrong added 11-10
//边界点数目递增
NumPoint++;
}
//修改前一点坐标
PrevX = CurrentX;
PrevY = CurrentY;
//新的当前点
CurrentX = CurrentX+Direction1[i][0];
CurrentY = CurrentY+Direction1[i][1];
break;
}
else
{
i=(i+1)%4;//循环寻找下一个点
}
}
}
}
}
}
scan_times++;//扫描次数累加
}//while end
//计算面积
for(i=0; i<=239; i++)
{
for(j=0; j<=319; j++)
{
if(img[i][j]==0)
{
//区域中应该是相同label的点的label值都要更新
if(label_kind[img_label[i][j]]<0)
{
img_label[i][j] = -label_kind[img_label[i][j]];
}
//区域的面积加1
//例如区域的label值为2,此时area_size[2]加1
area_size[img_label[i][j]]++;
//is a boudary pix
if (boudary_points[i][j])
{
lpImage = m_pImage + lLineBytes * (lHeight - i - 1) + j;
*lpImage = (unsigned char)0;
}
else
{
lpImage = m_pImage + lLineBytes * (lHeight - i - 1) + j;
*lpImage = (unsigned char)255;
}
}
else
{
lpImage = m_pImage + lLineBytes * (lHeight - i - 1) + j;
*lpImage = (unsigned char)255;
}
}
}
fpDest = fopen("ContourFollowing.bmp", "wb");
fwrite(&(bf.bfType), sizeof(bf.bfType), 1, fpDest);
fwrite(&(bf.bfSize), sizeof(bf.bfSize), 1, fpDest);
fwrite(&(bf.bfReserved1), sizeof(bf.bfReserved1), 1, fpDest);
fwrite(&(bf.bfReserved2), sizeof(bf.bfReserved2), 1, fpDest);
fwrite(&(bf.bfOffBits), sizeof(bf.bfOffBits), 1, fpDest);
fwrite(&(bi.biSize), sizeof(bi.biSize), 1, fpDest);
fwrite(&(bi.biWidth), sizeof(bi.biWidth), 1, fpDest);
fwrite(&(bi.biHeight), sizeof(bi.biHeight), 1, fpDest);
fwrite(&(bi.biPlanes), sizeof(bi.biPlanes), 1, fpDest);
fwrite(&(bi.biBitCount), sizeof(bi.biBitCount), 1, fpDest);
fwrite(&(bi.biCompression), sizeof(bi.biCompression), 1, fpDest);
fwrite(&(bi.biSizeImage), sizeof(bi.biSizeImage), 1, fpDest);
fwrite(&(bi.biXPelsPerMeter), sizeof(bi.biXPelsPerMeter), 1, fpDest);
fwrite(&(bi.biYPelsPerMeter), sizeof(bi.biYPelsPerMeter), 1, fpDest);
fwrite(&(bi.biClrUsed), sizeof(bi.biClrUsed), 1, fpDest);
fwrite(&(bi.biClrImportant), sizeof(bi.biClrImportant), 1, fpDest);
fseek(fpDest, 54, SEEK_SET);
fwrite(ipRGB, bf.bfOffBits - 54, 1, fpDest);
fwrite(lpImage, bf.bfSize - bf.bfOffBits, 1, fpDest);
QPixmap dst("ContourFollowing.bmp");
imageLabel->setPixmap(dst);
int total_area=0;
int area_num=0;
for(m=1;m<Max_label+1;m++)
{
//面积和阀值的比较
if(area_size[m]>Min_Round &&area_size[m]<Max_Round)
{
total_area = total_area+area_size[m];
area_num++;
}
else
{
//把所有label值等于m的面积中的点换为baidian
area_size[m] = 0;
/*
if(remove)
{
for(i=0; i<=239; i++)
{
for(j=0; j<=319; j++)
{
if(img_label[i][j]==m)
{
lpImage = m_pImage+lLineBytes*(lHeight-1-i)+j;
*lpImage = 255;
}
}
}
}
*/
}
}
real_label = count-1;//真实的区域的个数
if(real_label>0)
avg_round = total_points/real_label;//平均周长
else
avg_round = 0;
if(area_num>0)
avg_area = total_area/area_num;//平均面积
else
avg_area = 0;
//把几个关键值传到图像类的成员变量中
if(real_label>0)
{
SetLabel(real_label);//设置符合周长要求的区域的个数
SetNumPoint(area_point);//设置周长动态数组
SetMinRound(Min_Round);//设置最小周长
SetAvgRound(avg_round);//设置平均周长
sprintf(msg_round,"周长大于%d小于%d的细胞区域%d个,平均周长%d个像素\n",\
Min_Round,Max_Round,real_label,avg_round);
QMessageBox::information(this, tr("information"), tr(msg_round).arg(fileName));
}
if(area_num>0)
{
SetAreaNum(area_num);//设置符合要求的面积个数
SetAreaSize(area_size,Max_label);//设置面积动态数组
SetMaxLabel(Max_label);//设置最大的区域数目
SetAvgArea(avg_area);//设置平均面积值
sprintf(msg_area,"面积大于%d小于%d的细胞区域%d个,平均面积%d个像素\n",\
Min_Round,Max_Round,area_num,avg_area);
QMessageBox::information(this, tr("information"), tr(msg_area).arg(fileName));
}
if(real_label==area_num&&area_num==1&&avg_area!=0)//只有1个区域
{
//细胞的紧凑度
m_dCellCompact = (double)(avg_round*avg_round)/(double)avg_area;
//细胞面积
m_iCellArea = avg_area;
//细胞周长
m_iCellPerimeter = avg_round;
}
else
{
m_dCellCompact = 0;
m_iCellArea = 0;
m_iCellPerimeter = 0;
}
m_lp4AreaCellBoudList = new Boud_List;
m_lp4AreaCellBoudList = listhead;//保存获取的细胞区域的链表结构
Set4AreaTracked(true);//设置4邻域跟踪完成
if(real_label>0&&area_num>0)//如果均满足要求则输出提示信息
{
strcat(msg_round,msg_area);
//AfxMessageBox(msg_round,MB_ICONINFORMATION|MB_OK);
}
else
{
//AfxMessageBox("没有满足条件的区域!");
}
free(label_kind);
free(area_point);
free(area_size);
}