float Tesseract::blob_noise_score(TBLOB *blob) {
TBOX box; // BB of outline
inT16 outline_count = 0;
inT16 max_dimension;
inT16 largest_outline_dimension = 0;
for (TESSLINE* ol = blob->outlines; ol != NULL; ol= ol->next) {
outline_count++;
box = ol->bounding_box();
if (box.height() > box.width()) {
max_dimension = box.height();
} else {
max_dimension = box.width();
}
if (largest_outline_dimension < max_dimension)
largest_outline_dimension = max_dimension;
}
if (outline_count > 5) {
// penalise LOTS of blobs
largest_outline_dimension *= 2;
}
box = blob->bounding_box();
if (box.bottom() > kBlnBaselineOffset * 4 ||
box.top() < kBlnBaselineOffset / 2) {
// Lax blob is if high or low
largest_outline_dimension /= 2;
}
return largest_outline_dimension;
}
// Sets up the built-in DENORM and normalizes the blob in-place.
// For parameters see DENORM::SetupNormalization, plus the inverse flag for
// this blob and the Pix for the full image.
void TBLOB::Normalize(const BLOCK* block,
const FCOORD* rotation,
const DENORM* predecessor,
float x_origin, float y_origin,
float x_scale, float y_scale,
float final_xshift, float final_yshift,
bool inverse, Pix* pix) {
denorm_.SetupNormalization(block, rotation, predecessor, x_origin, y_origin,
x_scale, y_scale, final_xshift, final_yshift);
denorm_.set_inverse(inverse);
denorm_.set_pix(pix);
// TODO(rays) outline->Normalize is more accurate, but breaks tests due
// the changes it makes. Reinstate this code with a retraining.
// The reason this change is troublesome is that it normalizes for the
// baseline value computed independently at each x-coord. If the baseline
// is not horizontal, this introduces shear into the normalized blob, which
// is useful on the rare occasions that the baseline is really curved, but
// the baselines need to be stabilized the rest of the time.
#if 0
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->Normalize(denorm_);
}
#else
denorm_.LocalNormBlob(this);
#endif
}
/**********************************************************************
* TBLOB::bounding_box()
*
* Compute the bounding_box of a compound blob, defined to be the
* bounding box of the union of all top-level outlines in the blob.
**********************************************************************/
TBOX TBLOB::bounding_box() const {
if (outlines == nullptr) return TBOX(0, 0, 0, 0);
TESSLINE* outline = outlines;
TBOX box = outline->bounding_box();
for (outline = outline->next; outline != nullptr; outline = outline->next) {
box += outline->bounding_box();
}
return box;
}
// Normalize in-place using the DENORM.
void TBLOB::Normalize(const DENORM& denorm) {
// TODO(rays) outline->Normalize is more accurate, but breaks tests due
// the changes it makes. Reinstate this code with a retraining.
#if 1
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->Normalize(denorm);
}
#else
denorm.LocalNormBlob(this);
#endif
}
/**
* @name find_split_in_blob
*
* @returns TRUE if the split is somewhere in this blob.
*/
bool find_split_in_blob(SPLIT *split, TBLOB *blob) {
TESSLINE *outline;
for (outline = blob->outlines; outline != NULL; outline = outline->next)
if (outline->Contains(split->point1->pos))
break;
if (outline == NULL)
return FALSE;
for (outline = blob->outlines; outline != NULL; outline = outline->next)
if (outline->Contains(split->point2->pos))
return TRUE;
return FALSE;
}
// Finds and deletes any duplicate outlines in this blob, without deleting
// their EDGEPTs.
void TBLOB::EliminateDuplicateOutlines() {
for (TESSLINE* outline = outlines; outline != nullptr; outline = outline->next) {
TESSLINE* last_outline = outline;
for (TESSLINE* other_outline = outline->next; other_outline != nullptr;
last_outline = other_outline, other_outline = other_outline->next) {
if (outline->SameBox(*other_outline)) {
last_outline->next = other_outline->next;
// This doesn't leak - the outlines share the EDGEPTs.
other_outline->loop = nullptr;
delete other_outline;
other_outline = last_outline;
// If it is part of a cut, then it can't be a hole any more.
outline->is_hole = false;
}
}
}
}
// Extracts sets of 3-D features of length kStandardFeatureLength (=12.8), as
// (x,y) position and angle as measured counterclockwise from the vector
// <-1, 0>, from blob using two normalizations defined by bl_denorm and
// cn_denorm. See SetpuBLCNDenorms for definitions.
// If outline_cn_counts is not nullptr, on return it contains the cumulative
// number of cn features generated for each outline in the blob (in order).
// Thus after the first outline, there were (*outline_cn_counts)[0] features,
// after the second outline, there were (*outline_cn_counts)[1] features etc.
void Classify::ExtractFeatures(const TBLOB& blob,
bool nonlinear_norm,
GenericVector<INT_FEATURE_STRUCT>* bl_features,
GenericVector<INT_FEATURE_STRUCT>* cn_features,
INT_FX_RESULT_STRUCT* results,
GenericVector<int>* outline_cn_counts) {
DENORM bl_denorm, cn_denorm;
tesseract::Classify::SetupBLCNDenorms(blob, nonlinear_norm,
&bl_denorm, &cn_denorm, results);
if (outline_cn_counts != nullptr)
outline_cn_counts->truncate(0);
// Iterate the outlines.
for (TESSLINE* ol = blob.outlines; ol != nullptr; ol = ol->next) {
// Iterate the polygon.
EDGEPT* loop_pt = ol->FindBestStartPt();
EDGEPT* pt = loop_pt;
if (pt == nullptr) continue;
do {
if (pt->IsHidden()) continue;
// Find a run of equal src_outline.
EDGEPT* last_pt = pt;
do {
last_pt = last_pt->next;
} while (last_pt != loop_pt && !last_pt->IsHidden() &&
last_pt->src_outline == pt->src_outline);
last_pt = last_pt->prev;
// Until the adaptive classifier can be weaned off polygon segments,
// we have to force extraction from the polygon for the bl_features.
ExtractFeaturesFromRun(pt, last_pt, bl_denorm, kStandardFeatureLength,
true, bl_features);
ExtractFeaturesFromRun(pt, last_pt, cn_denorm, kStandardFeatureLength,
false, cn_features);
pt = last_pt;
} while ((pt = pt->next) != loop_pt);
if (outline_cn_counts != nullptr)
outline_cn_counts->push_back(cn_features->size());
}
results->NumBL = bl_features->size();
results->NumCN = cn_features->size();
results->YBottom = blob.bounding_box().bottom();
results->YTop = blob.bounding_box().top();
results->Width = blob.bounding_box().width();
}
// Consume the circular list of EDGEPTs to make a TESSLINE.
TESSLINE* TESSLINE::BuildFromOutlineList(EDGEPT* outline) {
TESSLINE* result = new TESSLINE;
result->loop = outline;
if (outline->src_outline != NULL) {
// ASSUMPTION: This function is only ever called from ApproximateOutline
// and therefore either all points have a src_outline or all do not.
// Just as SetupFromPos sets the vectors from the vertices, setup the
// step_count members to indicate the (positive) number of original
// C_OUTLINE steps to the next vertex.
EDGEPT* pt = outline;
do {
pt->step_count = pt->next->start_step - pt->start_step;
if (pt->step_count < 0)
pt->step_count += pt->src_outline->pathlength();
pt = pt->next;
} while (pt != outline);
}
result->SetupFromPos();
return result;
}
// Consume the circular list of EDGEPTs to make a TESSLINE.
TESSLINE* TESSLINE::BuildFromOutlineList(EDGEPT* outline) {
TESSLINE* result = new TESSLINE;
result->loop = outline;
result->SetupFromPos();
return result;
}
void TBLOB::plot(ScrollView* window, ScrollView::Color color,
ScrollView::Color child_color) {
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next)
outline->plot(window, color, child_color);
}
// Recomputes the bounding boxes of the outlines.
void TBLOB::ComputeBoundingBoxes() {
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->ComputeBoundingBox();
}
}
// Scales by the given factor in place.
void TBLOB::Scale(float factor) {
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->Scale(factor);
}
}
// Moves by the given vec in place.
void TBLOB::Move(const ICOORD vec) {
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->Move(vec);
}
}
// Rotates by the given rotation in place.
void TBLOB::Rotate(const FCOORD rotation) {
for (TESSLINE* outline = outlines; outline != NULL; outline = outline->next) {
outline->Rotate(rotation);
}
}
