bool gvVisionTask_black::gvTask_inspect( Hobject image_src, Hobject *outRegion_defects )
{
// Local iconic variables
Hobject TMP_Region, Region1, RegionErosion1,ImageReduced;
Hobject Image_meanSmall, Image_meanLarge, RegionDynThresh;
Hobject ConnectedRegions, RegionFillUp, RegionErosion, ConnectedRegions1;
Hobject SelectedRegions, RegionDilation1, RegionDilation;
Hobject RegionDifference, obj_selected;
// Local control variables
HTuple Meancenter, Deviation, Meanouter, Deviation1;
HTuple Index, Number;
// reduce_domain(image_src, gvTask_GetROI()->gvROI_GetROI(), &ImageReduced);
reduce_domain(image_src, gvTask_GetROI()->gvROI_GetROI(), &ImageReduced);
threshold(ImageReduced, &Region1, 100, 255);
fill_up(Region1, &Region1);
erosion_circle(Region1, &RegionErosion1, 20);
mean_image(ImageReduced, &Image_meanSmall, 2, 2);
mean_image(ImageReduced, &Image_meanLarge, 20, 20);
dyn_threshold(Image_meanSmall, Image_meanLarge, &RegionDynThresh, 5, "dark");
connection(RegionDynThresh, &ConnectedRegions);
fill_up(ConnectedRegions, &RegionFillUp);
erosion_circle(RegionFillUp, &RegionErosion, 1.5);
connection(RegionErosion, &ConnectedRegions1);
select_shape(ConnectedRegions1, &SelectedRegions, "area", "and", m_minBlackSpotArea, 5000);
dilation_circle(SelectedRegions, &RegionDilation1, 2.5);
intensity(RegionDilation1, Image_meanSmall, &Meancenter, &Deviation);
dilation_circle(SelectedRegions, &RegionDilation, 5);
difference(RegionDilation, SelectedRegions, &RegionDifference);
intensity(RegionDifference, Image_meanSmall, &Meanouter, &Deviation1);
gen_empty_obj(&(*outRegion_defects));
for (Index=0; Index<=(Meancenter.Num())-1; Index+=1)
{
select_obj(SelectedRegions, &obj_selected, Index+1);
if (0 != ((HTuple(Meancenter[Index])-HTuple(Meanouter[Index]))<-30))
{
concat_obj((*outRegion_defects), obj_selected, &(*outRegion_defects));
}
}
count_obj((*outRegion_defects), &Number);
if(Number>m_maxBlackSpotCnt||Number<m_minBlackSpotCnt )
{
return FALSE;
}
return TRUE;
}
bool gvVisionImage_botcap_front::_insp_loc( Hobject image_src, Hobject *outRegion_loc)
{
// Local iconic variables
Hobject ImageMean, region_thre, region_fillup;
Hobject region_erosion, region_dilation, region_conn, region_sel;
// Local control variables
Hlong numRegions;
gen_empty_obj(&(*outRegion_loc));
mean_image(image_src, &ImageMean, 31, 31);
dyn_threshold(image_src, ImageMean, ®ion_thre, 5, "light");
fill_up(region_thre, ®ion_fillup);
erosion_circle(region_fillup, ®ion_erosion, 5.5);
dilation_circle(region_erosion, ®ion_dilation, 5.5);
connection(region_dilation, ®ion_conn);
select_shape(region_conn, ®ion_sel, "area", "and", m_minarea, 999999);
count_obj(region_sel, &numRegions);
if ( 1 == numRegions )
{
disp_obj(ho_Image,hl_WindowID);
disp_obj(region_sel,hl_WindowID);
copy_obj(region_sel, &(*outRegion_loc), 1, 1);
return true;
}
return false;
}
void CDoProcess::DoProcess(CMData* pData,SubTestResult *testItem)
{
try
{
Hobject image = pData->m_Image;
Hobject ROI,Circle1,Circle2;
if((pData->r_real+m_Parameters.Regional_Out-m_Parameters.ROIWidth)>0)
{
gen_circle(&Circle1, (pData->m_center_y), (pData->m_center_x), (pData->r_real+m_Parameters.Regional_Out));
gen_circle(&Circle2, (pData->m_center_y), (pData->m_center_x), pData->r_real+m_Parameters.Regional_Out-m_Parameters.ROIWidth);
difference(Circle1, Circle2, &ROI);
if (ShowObject&&pData->m_isDebug)
{
set_color(pData->m_ShowHWindow,"blue");
disp_obj(Circle1,pData->m_ShowHWindow);
set_color(pData->m_ShowHWindow,"green");
disp_obj(Circle2,pData->m_ShowHWindow);
}
}
else
{
gen_circle(&ROI, (pData->m_center_y), (pData->m_center_x), (pData->r_real+m_Parameters.Regional_Out));
if (ShowObject&&pData->m_isDebug)
{
set_color(pData->m_ShowHWindow,"blue");
disp_obj(ROI,pData->m_ShowHWindow);
}
}
// Local iconic variables
Hobject region_tai,BlackImageMean,WhiteImageMean;
Hobject BlackPointDynThresh, BLACK_POINT, SeriousBlackPointDynThresh;
Hobject SeriousBlackConnected, SERIOUS_BlackPoint;
Hobject WhitePointDynThresh, WHITE_POINT, SeriousWhitePointDynThresh;
Hobject SeriousWhiteConnected, SERIOUS_WhitePoint;
Hlong Number;
Hobject Dilation,ExpandedImage;
reduce_domain(image, ROI, ®ion_tai);
expand_domain_gray(region_tai, &ExpandedImage, 2);
reduce_domain(ExpandedImage, ROI, ®ion_tai);
//*===================================================================
//*找黑色划痕与污点
mean_image(region_tai, &BlackImageMean, m_Parameters.BlackMaskSize, m_Parameters.BlackMaskSize);
//*找大范围黑缺陷，适用于缺陷浅以及数量比较多的情况，参数越细，误报越高
dyn_threshold(region_tai, BlackImageMean, &BlackPointDynThresh,m_Parameters.BlackPointDynThresh, "dark");
select_shape(BlackPointDynThresh, &BLACK_POINT, "area", "and", m_Parameters.BlackPointSize, 99999);
count_obj(BLACK_POINT, &Number);
if (Number)
{
//pData->m_ErrorRegist = BLACK_POINT;
pData->m_isFail =true;
testItem->m_bFailSubTest = true;
//testItem->m_ErrorMsg = "BlackPoint error";
//return;
if (pData->m_isDebug)
{
dilation_circle(BLACK_POINT,&Dilation,2.5);
set_color(pData->m_ShowHWindow,"red");
disp_obj(Dilation,pData->m_ShowHWindow);
}
}
//*找单一块极黑缺陷，适用于伤的比较深，污点比较黑的情况
dyn_threshold(region_tai, BlackImageMean, &SeriousBlackPointDynThresh,m_Parameters.SeriousBlackPointDynThresh, "dark");
connection(SeriousBlackPointDynThresh, &SeriousBlackConnected);
select_shape(SeriousBlackConnected, &SERIOUS_BlackPoint, "area", "and",m_Parameters.SeriousBlackPointSize, 99999);
count_obj(SERIOUS_BlackPoint, &Number);
if (Number)
{
pData->m_isFail =true;
testItem->m_bFailSubTest = true;
if (pData->m_isDebug)
{
dilation_circle(SERIOUS_BlackPoint,&Dilation,2.5);
set_color(pData->m_ShowHWindow,"red");
disp_obj(Dilation,pData->m_ShowHWindow);
}
}
//*===================================================================
//*找白色划痕与污点
mean_image(region_tai, &WhiteImageMean, m_Parameters.WhiteMaskSize, m_Parameters.WhiteMaskSize);
//*找大范围白缺陷
dyn_threshold(region_tai, WhiteImageMean, &WhitePointDynThresh, m_Parameters.WhitePointDynThresh, "light");
select_shape(WhitePointDynThresh, &WHITE_POINT, "area", "and", m_Parameters.WhitePointSize, 99999);
count_obj(WHITE_POINT, &Number);
if (Number)
{
//pData->m_ErrorRegist = WHITE_POINT;
pData->m_isFail =true;
testItem->m_bFailSubTest = true;
//testItem->m_ErrorMsg = "WhitePoint error";
if (pData->m_isDebug)
{
dilation_circle(WHITE_POINT,&Dilation,2.5);
set_color(pData->m_ShowHWindow,"yellow");
disp_obj(Dilation,pData->m_ShowHWindow);
}
}
//*找单一块极白污点
dyn_threshold(region_tai, WhiteImageMean, &SeriousWhitePointDynThresh, m_Parameters.SeriousWhitePointDynThresh, "light");
connection(SeriousWhitePointDynThresh, &SeriousWhiteConnected);
select_shape(SeriousWhiteConnected, &SERIOUS_WhitePoint, "area", "and",m_Parameters.SeriousWhitePointSize, 99999);
count_obj(SERIOUS_WhitePoint, &Number);
if (Number)
{
//pData->m_ErrorRegist = SERIOUS_WhitePoint;
pData->m_isFail =true;
testItem->m_bFailSubTest = true;
//testItem->m_ErrorMsg = "SeriousWhitePoint error";
if (pData->m_isDebug)
{
dilation_circle(SERIOUS_WhitePoint,&Dilation,2.5);
set_color(pData->m_ShowHWindow,"yellow");
disp_obj(Dilation,pData->m_ShowHWindow);
}
}
Hobject RegionUnionBlack,RegionUnionWhite,RegionUnionWhole;
union2(BLACK_POINT, SERIOUS_BlackPoint, &RegionUnionBlack);
union2(WHITE_POINT, SERIOUS_WhitePoint, &RegionUnionWhite);
union2(RegionUnionBlack, RegionUnionWhite, &RegionUnionWhole);
//dilation_circle(RegionUnionWhole, &RegionDilation, 2.5);
union2(RegionUnionWhole, pData->m_ErrorRegist, &RegionUnionWhole);
pData->m_ErrorRegist=RegionUnionWhole;
}
catch (HException &except)
{
if (pData->m_isDebug)
{
set_color(pData->m_ShowHWindow,"green");
set_tposition( pData->m_ShowHWindow,25, 145);
#ifdef _ENGLISH
write_string(pData->m_ShowHWindow,"DynThreshed1.3 parameter values error,please re-adjust");
#else
write_string(pData->m_ShowHWindow,"DynThreshed1.3程序参数值出错,请重新调节参数");
#endif
}
pData->m_isFail = true;
testItem->m_bFailSubTest = true;
}
}
int main(int argc, char *argv[])
{
sequence *seq; /* pointer to input sequence data structure */
image **imgs; /* pointer to input sequence array of images */
image *out; /* pointer the output image */
char seq_in[100], /* input sequence name */
seq_out[100], /* output sequence name */
file_out[100]; /* output file name */
int length; /* length of the sequence */
int i; /* loop index */
/* Process input arguments */
if(argc != 3)
{
fprintf(stderr,"Usage: %s [input PGM sequence name] [output PGM sequence name]\n", argv[0]);
exit(0);
}
else
{
strcpy(seq_in, argv[1]);
strcpy(seq_out, argv[2]);
}
/* Load the input sequence */
seq = load_sequence(seq_in);
/* Get a pointer to the sequence images */
imgs = get_sequence_images(seq);
/* Get sequence length */
length = get_sequence_length(seq);
/* Check if sequence is long enough */
if(length < 2) {
fprintf(stderr, "sequence is too short\n");
exit(1);
}
/* Clone the first image to store results */
out = clone_image(imgs[0]);
/* Loop through the sequence and write the mean sequence */
/* i.e. for each image of the input sequence, write the image */
/* resulting from the mean between the current image and */
/* the next one. */
for(i = 0; i < length - 1; i++) {
/* Compute the mean between the current picture and the next one */
mean_image(imgs[i], imgs[i+1], out);
/* Now write out the output image */
sprintf(file_out, "%s%03d.pgm", seq_out, i);
printf("Writing out %s\n",file_out);
pgm_write_image(out, file_out);
}
/* We must deallocate the memory the sequence and for the image before */
/* we finish */
free_image(out);
free_sequence(seq);
return(EXIT_SUCCESS);
}
