bool CapsuleProc::RectangleBlob ( IMG image,
const TRect2D<long>& roi,
long wndSize,
long dynThres,
long minBlobSize,
TBlobTouchBorderFilter ignorBorder,
long minBlobWidth,
long minBlobHeight,
bool alsoReverse)
{
if(!IsImage(image) || roi.IsNull())
{ return true; }
IMG imageROI = NULL;
CreateImageMap(image , roi.x0(), roi.y0(), roi.x1(), roi.y1(), roi.Width(), roi.Height(), imageROI);
bool success = RectBlackBlob(imageROI, wndSize, dynThres, minBlobSize,
ignorBorder, minBlobWidth, minBlobHeight);
if(alsoReverse && success)
{
IMG imageROI2 = NULL;
long maskVal[] = { 255 };
XorConstant(imageROI, maskVal, imageROI2);
success = RectBlackBlob(imageROI2, wndSize, dynThres, minBlobSize,
ignorBorder, minBlobWidth, minBlobHeight);
ReleaseImage(imageROI2);
}
m_sortObserver.ObserverIMG(SortObserver::MPart, imageROI);
m_sortObserver.ObserverIMG(SortObserver::CPart, imageROI);
ReleaseImage(imageROI);
return success;
}
/***************************************************************
*函数名称： TransSobelAnalysis
*
* 参数： IMG 图像
*
*
* 返回值： 不存在斑点 true,
* 存在斑点 false
*
* 功能： 在指定的区域内采用sobel滤波+
* 斑点分析的方法检测是否存在斑点
*
****************************************************************/
bool CapsuleProc::TransSobelAnalysis(IMG image)
{
IMG copyImage = 0;
CreateDuplicateImage (image, copyImage);
HorizonExtend::Extend(copyImage);
long width = ImageWidth(copyImage);
long height= ImageHeight(copyImage);
TRect2D<long> roi = TRect2D<long>(TPoint2D<long>(0,0), width, height);
roi.Expand(-2, -2);
bool success = false;
IMG imageROI= NULL;
CreateImageMap( copyImage, roi.x0(), roi.y0(), roi.x1(), roi.y1(), roi.Width(), roi.Height(), imageROI);
if(IsImage(imageROI))
{
IMG imageSobel = 0;
FilterSobelVertical(imageROI, FM_5x5, imageSobel);
success = RectBlackBlob ( imageSobel,
m_segmentParam.dynWndSize,
m_segmentParam.dynThres - 2,
m_segmentParam.blobSize,
FBLOB_BORDER_ALL, -1, 4);
m_sortObserver.ObserverIMG(SortObserver::MSobel, copyImage);
m_sortObserver.ObserverIMG(SortObserver::CSobel, imageSobel);
ReleaseImage(imageSobel);
}
ReleaseImage(imageROI);
ReleaseImage(copyImage);
return success;
}
CapsuleProc::~CapsuleProc()
{
ReleaseImage(m_cvbImg);
ReleaseImage(m_cvbProfileImg);
ReleaseImage(m_profileBlob);
ReleaseImage(m_cvbBlob);
LMDestroy(m_lightMeter);
}
/***************************************************************
*函数名称： ReInit
*
* 参数： TImgDim 图像尺寸信息
*
* 返回值： 成功 true, 失败 false
*
* 功能： 初始化图像处理函数
****************************************************************/
bool CapsuleProc::ReInit (const TImgDim& imgDimension)
{
if(m_dim == imgDimension) return true;
m_dim = imgDimension;
ReleaseImage(m_cvbImg);
ReleaseImage(m_cvbProfileImg);
ReleaseImage(m_profileBlob);
ReleaseImage(m_cvbBlob);
LMDestroy(m_lightMeter);
m_imgBuffer.ReInit(m_dim, 30);
m_rawImage = TAlloc<PixelMem>(m_dim.bytesPerRow * m_dim.height, e16ByteAlign);
long pitchPlane = (m_dim.bytesPerPixel == 1) ? 0 : 1;
if(0 != CreateImageFromPointer( m_rawImage.Base(),
m_rawImage.Size(),
m_dim.width,
m_dim.height,
m_dim.bytesPerPixel, 8, m_dim.bytesPerPixel,
m_dim.bytesPerRow,
pitchPlane, 0, 0, 0,
m_cvbImg))
{
return false;
}
TRect2D<int> boundary(TPoint2D<int>(0, 0), m_dim.width, m_dim.height);
m_profileImage = TImage<PelGray8> (boundary, e16ByteAlign);
if(0 != CreateImageFromPointer( m_profileImage.Base(),
m_profileImage.RowSpace() * m_profileImage.Height(),
m_profileImage.Width(),
m_profileImage.Height(),
1, 8, 1,
m_profileImage.RowSpace(),
0, 0, 0, 0,
m_cvbProfileImg))
{
return false;
}
m_cvbBlob = FBlobCreate(m_cvbImg, 0);
m_profileBlob = FBlobCreate(m_cvbProfileImg, 0);
if(0 != LMCreate(&m_lightMeter))
{
return false;
}
return true;
}
/***************************************************************
*函数名称： RectSobelBlob
*
* 参数： IMG 图像
* TRect2D 感兴趣区域
* long 窗口面积
* long 动态阈值
* long 斑点的最小面积
* TBlobTouchBorderFilter 忽略边界
* long 斑点最小宽度
* long 斑点最小高度
* 返回值： 不存在斑点 true,
* 存在斑点 false
*
* 功能： 在指定的区域内采用动态阈值+
* 斑点分析的方法检测是否存在斑点
*
****************************************************************/
bool CapsuleProc::RectSobelBlob ( IMG image,
const TRect2D<long>& roi,
long wndSize,
long dynThres,
long minBlobSize,
TBlobTouchBorderFilter ignorBorder,
long minBlobWidth,
long minBlobHeight)
{
if(!IsImage(image) || roi.IsNull() )
{ return true; }
bool success = true;
IMG imageROI= NULL;
CreateImageMap(image , roi.x0(), roi.y0(), roi.x1(), roi.y1(), roi.Width(), roi.Height(), imageROI);
if(IsImage(imageROI))
{
IMG imageSobel = 0;
FilterSobelVertical(imageROI, FM_5x5, imageSobel);
success = RectBlackBlob( imageSobel,
wndSize,
dynThres,
minBlobSize,
ignorBorder,
minBlobWidth,
minBlobHeight);
if(success)
{
IMG imageSobel2 = NULL;
long maskVal[] = { 255 };
XorConstant ( imageSobel,
maskVal,
imageSobel2);
success = RectBlackBlob ( imageSobel2,
wndSize,
dynThres,
minBlobSize,
ignorBorder,
minBlobWidth,
minBlobHeight);
ReleaseImage(imageSobel2);
}
//m_sortObserver.ObserverIMG(SortObserver::MSobel, image);
//m_sortObserver.ObserverIMG(SortObserver::CSobel, imageSobel);
ReleaseImage(imageSobel);
}
ReleaseImage(imageROI);
return success;
}
void ImProc::SetRefImage()
{
//release the previous images (if any)
ReleaseImage(&m_ReferenceGrey);
ReleaseImage(&m_Reference);
IplImage *Frame=cvQueryFrame(m_Video); // get a frame of video
//now copy a permanant copy of it into the m_Reference frame
if(Frame !=0)
{
m_Reference = cvCloneImage(Frame);
//and make a greyscale copy of it
m_ReferenceGrey = ConvertToGrey(m_Reference);
}
}
inline void WImageBufferC<T, C>::Allocate(int width, int height)
{
if (IsNull() || WImage<T>::Width() != width || WImage<T>::Height() != height) {
ReleaseImage();
WImageC<T, C>::SetIpl(cvCreateImage(cvSize(width, height),WImage<T>::Depth(), C));
}
}
int main()
{
IplImage *img = cvLoadImage("target.jpg");
SetImageFloodFill(img);
ShowImage(img);
ReleaseImage(img);
return 0;
}
inline void WImageBuffer<T>::Allocate(int width, int height, int nchannels) {
if (IsNull() || WImage<T>::Width() != width ||
WImage<T>::Height() != height || WImage<T>::Channels() != nchannels) {
ReleaseImage();
WImage<T>::image_ = cvCreateImage(cvSize(width, height),
WImage<T>::Depth(), nchannels);
}
}
bool CSoftWareConfig::LoadMutiFrameImage(LPCSTR filePath)
{
bool success = false;
TMfdArchive mfdFile;
if(mfdFile.Load(filePath))
{
m_imgBuff = mfdFile.GetImgBuffer();
if(!m_imgBuff.IsNull())
{
TImgDim dim = m_imgBuff.Dimension();
if(3==dim.bytesPerPixel)
{ m_hue1Vect.clear(); m_hue2Vect.clear(); }
else
{ m_dimVect.clear(); }
if(!(m_imgPlayBuff.Dimension() == dim))
{
m_imgPlayBuff.ReInit(dim);
if(m_IMGForPlayer) ReleaseImage(m_IMGForPlayer);
long pitchPlane = (dim.bytesPerPixel == 1) ? 0 : 1;
CreateImageFromPointer( m_imgPlayBuff.FrameData(0),
m_imgPlayBuff.FrameBytes(),
dim.width,
dim.height,
dim.bytesPerPixel,
8,
dim.bytesPerPixel,
dim.bytesPerRow,
pitchPlane, 0, 0, 0, m_IMGForPlayer);
}
std::string fileName = filePath;
if (fileName.find("Mono") <= fileName.size())
{
m_pProcessor = ((CapsuleSorterDlg*)AfxGetMainWnd())->GetProcessor(1);
}
else{
m_pProcessor = ((CapsuleSorterDlg*)AfxGetMainWnd())->GetProcessor(3);
}
m_radiusScroll.SetScrollPos(m_pProcessor->RemainInfo().radius );
m_radius = m_pProcessor->RemainInfo().radius;
m_minboxWidth = m_pProcessor->RemainInfo().minBoxWidth;
m_imgBuff.GoNextFrame();
DisplayImage();
Process(m_imgBuff);
success = true;
UpdateData(FALSE);
}
}
return success;
}
void TgaLoad_Exit()
{
while(Bucket.ImageCount)
{
if(Bucket.ImageList[Bucket.ImageCount-1].uTexID)
{
glDeleteTextures(1,&Bucket.ImageList[Bucket.ImageCount-1].uTexID);
}
ReleaseImage(Bucket.ImageList[Bucket.ImageCount-1].pImage);
}
}
void ReleaseTexture(u32 uTexID)
{
i32 i;
for(i=0;(u32)i<Bucket.ImageCount;i++)
{
if(Bucket.ImageList[i].uTexID == uTexID)
{
ReleaseImage(Bucket.ImageList[i].pImage);
break;
}
}
}
bool CapsuleProc::RotateIMG( size_t blobIndex,
FBLOB profileBlob,
IMG proImg,
IMG &proSubIMG,
size_t &posIndex)
{
long profileCount = 0;
FBlobGetNumBlobs (profileBlob, profileCount);
if ( blobIndex >= static_cast<size_t>(profileCount) )
{
posIndex = -1;
return false;
}
//Get Range
long x0 = 0, y0 = 0, width = 0, height = 0;
FBlobGetBoundingBox (profileBlob, blobIndex, x0, y0, width, height);
posIndex = CheckPosition(x0+width/2, y0+height/2);
IMG proIMGMap = NULL;
CreateImageMap (proImg, x0, y0, x0+width, y0+height, width, height, proIMGMap);
double rabi = 0.0, rabi1 = 0.0, rabi2 = 0.0, momentAngle = 0.0;
FBlobGetMoments (profileBlob, blobIndex, rabi, rabi1, rabi2, momentAngle);
static const double ADIVPI = 180.0 /(4.0*atan(1.0)); //ppi = 180/PI
static const double ANGLE90 = 90; //ppiH = 180/PI*PI/2
double angle = 0.0;
if(momentAngle>=0)
{ angle = (ANGLE90 - ADIVPI * momentAngle); }
else
{ angle = -(ANGLE90 + ADIVPI * momentAngle); }
RotateImage( proIMGMap, angle, IP_Linear, proSubIMG);
TCoordinateMap cm;
InitCoordinateMap(cm);
SetImageCoordinates (proSubIMG, cm);
ShrinkVertical (proSubIMG, m_segmentParam.shrinkY);
ShrinkHorizontal(proSubIMG, m_segmentParam.shrinkX);
ReleaseImage (proIMGMap);
return true;
}
bool CapsuleProc::SobelAnalysis(IMG image)
{
IMG copyImage = 0;
CreateDuplicateImage (image, copyImage);
HorizonExtend::Extend(copyImage);
long width = ImageWidth(copyImage);
long height= ImageHeight(copyImage);
TRect2D<long> roi = TRect2D<long>(TPoint2D<long>(0,0), width, height);
roi.Expand(-2, -2);
bool success = RectSobelBlob( copyImage,
roi,
m_segmentParam.dynWndSize,
m_segmentParam.dynThres,
m_segmentParam.blobSize,
FBLOB_BORDER_ALL);
ReleaseImage(copyImage);
return success;
}
bool CapsuleProc::RectBlackBlob( IMG image,
long wndSize,
long dynThres,
long minBlobSize,
TBlobTouchBorderFilter ignorBorder,
long minBlobWidth,
long minBlobHeight)
{
if(!IsImage(image)) { return true; }
IMG DynamicImage = NULL;
CreateDynamicThresholdImage(image, wndSize, dynThres, DynamicImage);
FBlobSetImage (m_cvbBlob, DynamicImage, 0);
FBlobSetObjectFeatureRange (m_cvbBlob, 0, 128);
FBlobSetSkipBinarization (m_cvbBlob, FALSE);
FBlobSetLimitArea (m_cvbBlob, minBlobSize, -1);
FBlobSetLimitWidth (m_cvbBlob, minBlobWidth, -1);
FBlobSetLimitHeight (m_cvbBlob, minBlobHeight, -1);
FBlobSetObjectTouchBorder (m_cvbBlob, ignorBorder);
FBlobExec (m_cvbBlob);
long blobCount = 0;
FBlobGetNumBlobs(m_cvbBlob, blobCount);
if(1 == m_dim.bytesPerPixel)
{
m_sortObserver.ObserverIMG(SortObserver::MDyn, DynamicImage);
}
else
{
m_sortObserver.ObserverIMG(SortObserver::CDyn, DynamicImage);
}
ReleaseImage(DynamicImage);
return (blobCount == 0);
}
bool SortObserver::ObserverIMG(ETarget eTarget, IMG img)
{
bool success = false;
bool isImage = true;
size_t target = 0;
switch(eTarget)
{
case MAll:
target = MAll;
break;
case MBin:
target = MBin;
break;
case MEnh:
target = MEnh;
break;
case MAnd:
target = MAnd;
break;
case CAll:
target = CAll;
break;
case MSub:
target = m_mSub++;
break;
case MPart:
target = m_mPart++;
break;
case MDyn:
target = m_mDyn++;
break;
case MSobel:
target = m_mSoble++;
break;
case CSub:
target = m_cSub++;
break;
case CPart:
target = m_cPart++;
break;
case CDyn:
target = m_cDyn++;
break;
case CSobel:
target = m_cSoble++;
break;
default:
isImage = false;
}
if(isImage && (m_specTarget==target))
{
ReleaseImage(m_targetIMG);
CreateDuplicateImage(img, m_targetIMG);
//m_targetIMG = img;
//ShareImage(m_targetIMG);
success = true;
}
return success;
}
SortObserver::~SortObserver()
{
ReleaseImage(m_targetIMG);
}
// Set the data to point to an image, releasing the old data
void SetIpl(IplImage* img) {
ReleaseImage();
WImageC<T, C>::SetIpl(img);
}
void ImProc::UpdateFrame()
{
if(!m_Video)
return;
//release the previous frame
ReleaseImage(&m_PrevFrame);
//make the previous Frame this frame
if(m_CurFrame != 0) //safety
m_PrevFrame = cvCloneImage(m_CurFrame);
IplImage *Frame=cvQueryFrame(m_Video); // get a frame of video
//release the current frame of video before getting another
ReleaseImage(&m_CurFrame);
//now copy a permanant copy of it into the current frame
m_CurFrame = cvCloneImage(Frame);
if(m_PrevFrame == 0)
return; // we need to bail until we have 2 frames
//now convert this frame and the previous frame to grey
ReleaseImage(&m_CurFrameGrey);
m_CurFrameGrey = ConvertToGrey(m_CurFrame);
IplImage * curgrey = m_CurFrameGrey;
if(m_ReferenceGrey == 0) // no reference image set yet
return;
IplImage * prevgrey = ConvertToGrey(m_PrevFrame);
//free and previous temporal image difference threshold picture
ReleaseImage(&m_TemporalImage);
//and create a new one
m_TemporalImage = cvCreateImage(cvSize(curgrey->width,curgrey->height),curgrey->depth,1);
//Zhang et al. [ZCS03]
unsigned char *curdat,*prvdat,*tmpdat,*refdat;
float mindat,maxdat,avdat,diff;
curdat = (unsigned char *)curgrey->imageData; // the current frame
prvdat = (unsigned char *)prevgrey->imageData; // the previous frame
refdat = (unsigned char *)m_ReferenceGrey->imageData; // get a pointer to the greyscale reference image
tmpdat = (unsigned char *)m_TemporalImage->imageData; // the temporal shadow difference image
//build a map of the min / max values
for(int y =0 ; y < m_CurFrame->height; y ++)
{
for(int x = 0; x < m_CurFrame->width; x++)
{
mindat = min(curdat[y * curgrey->widthStep + x],prvdat[y * prevgrey->widthStep + x]);
maxdat = max(curdat[y * curgrey->widthStep + x],prvdat[y * prevgrey->widthStep + x]);
avdat = (mindat + maxdat) / 2.0f; // find the dynamic midpoint threshold
//diff = (float)refdat[y * m_ReferenceGrey->widthStep + x]; // get the pixel from the greyscale reference image
diff = (float)curdat[y * curgrey->widthStep + x]; // get the pixel from the greyscale reference image
diff = diff - avdat; // subtract the midpoint of the dynamic range from the difference in brightness between 2 successive frames of video
//now, if diff is less than 0, (i.e. 0 crossing), then we have an edge
// for the purposes of my algorithm ,we're going to make this stand out
// by saying it's now 255 - (unsigned char)diff to make it really stand out
// we may need to add in some translation or scaler to tweak this
tmpdat[y * m_TemporalImage->widthStep + x] = (unsigned char)diff + offset;
}
}
//remember to clean up
ReleaseImage(&prevgrey);
}
~WImageBufferC() {
ReleaseImage();
}
/***************************************************************
*函数名称： TransProcess
*
* 参数： 无
*
*
* 返回值： unsigned int 处理结果
*
*
* 功能： 透明胶囊处理
*
*
****************************************************************/
unsigned int CapsuleProc::TransProcess( WORKMODE mode )
{
TTimeDiff td;
td.Reset();
m_curData.Clear();
m_sortResult.NewPeriod();
m_sortObserver.NewPeriod(SortObserver::Mono);
TImgDim dim = Dimension();
if (!m_transRemain.RemainCapsule(m_rawImage, dim, m_profileImage, m_remainParam, TTransRemain::TRANSMODE))
{
OutputDebugString("RemainCapsule Failed!");
return 0;
}
m_sortObserver.ObserverIMG (SortObserver::MAll, m_cvbProfileImg);
long profileBlobCount = 0;
long minWidth = 1 + m_capsuleParam.capsuleDim.width/8;
ProfileBlob (m_cvbProfileImg, minWidth, m_profileBlob);
FBlobGetNumBlobs(m_profileBlob, profileBlobCount);
int counter = 0;
for(int i = 0; i < profileBlobCount; i++)
{
IMG proSubRot = NULL;
size_t posIndex = 0;
if(TransRotateIMG(i, m_profileBlob, m_cvbProfileImg, proSubRot, posIndex))
{
if(posIndex ==0 || posIndex == 2)
{
counter++;
}
m_sortObserver.ObserverIMG(SortObserver::MSub, proSubRot);
const long width = ImageWidth (proSubRot);
const long height= ImageHeight(proSubRot);
m_curData.WidthAndHeight(width, height);
//all short
if( IsCapsuleShort( height, width,
m_capsuleParam.capsuleDim.height,
m_capsuleParam.capsuleDim.tolerance))
{
if (REALTIME == mode)
{
m_sortResult.SetResult(SortResult::ShortErr, posIndex);
OutputDebugString("Capsule Short!");
ReleaseImage(proSubRot);
continue;
}
}
if (false == TransDoubleJudge(proSubRot, width/2))
{
if (REALTIME == mode)
{
m_sortResult.SetResult(SortResult::DoubleEdge, posIndex);
OutputDebugString("Double Edge!");
ReleaseImage(proSubRot);
continue;
}
}
//Is body/cap short
long upEdge = 0, downEdge = 0;
bool findEdge = FindUpDownEdge( proSubRot,
m_segmentParam.edgeDensity,
m_segmentParam.edgeThres,
upEdge,
downEdge);
if (findEdge)
{
if (false == TransIsPartShort(height, upEdge, downEdge))
{
if (REALTIME == mode)
{
m_sortResult.SetResult(SortResult::PartShort, posIndex);
OutputDebugString("Part Short!");
ReleaseImage(proSubRot);
continue;
}
}
}
//Soble Analysis
if( false == TransSobelAnalysis(proSubRot))
{
if (REALTIME == mode)
{
m_sortResult.SetResult(SortResult::SobelErr, posIndex);
OutputDebugString("Sobel Edge!");
ReleaseImage(proSubRot);
continue;
}
}
//blobAnalysis
if(false == TransBlobAnalysis( proSubRot, upEdge, downEdge,
m_segmentParam.dynWndSize,
m_segmentParam.dynThres,
m_segmentParam.blobSize))
{
if (REALTIME == mode)
{
m_sortResult.SetResult(SortResult::BlobErr, posIndex);
ReleaseImage(proSubRot);
OutputDebugString("BlobErr!");
continue;
}
}
ReleaseImage(proSubRot);
}
}
unsigned int badResult = m_sortResult.GetErrorPosition();
m_sortObserver.ObserverParam(SortObserver::MResult, badResult & 0x0F);
m_sortObserver.ObserverParam(SortObserver::MTime, td.msec() );
if (mode == REALTIME)
{
if( eSecond == m_processIndex )
{
CapsuleProc::AddToAllCount( counter );
}
}
if(profileBlobCount > 0)
{
RecordingImage();
}
return badResult;
}
