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Merge pull request #21959 from cpoerschke:4.x-intelligent-scissors-optimisation

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imgproc: optimise local cost computation in IntelligentScissorsMB::buildMap
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Alexander Smorkalov 2023-06-08 16:45:04 +03:00 committed by GitHub
commit 5d913f4d72
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1 changed files with 65 additions and 44 deletions
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109
modules/imgproc/src/intelligent_scissors.cpp
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@ -40,7 +40,7 @@ static const int neighbors_encode[8] = {
};
#define ACOS_TABLE_SIZE 64
// acos_table[x + ACOS_TABLE_SIZE] = acos(x / ACOS_TABLE_SIZE) / CV_PI (see local_cost)
// acos_table[x + ACOS_TABLE_SIZE] = acos(x / ACOS_TABLE_SIZE) / CV_PI (see add_local_cost)
// x = [ -ACOS_TABLE_SIZE .. ACOS_TABLE_SIZE ]
float* getAcosTable()
{
@ -495,55 +495,76 @@ struct IntelligentScissorsMB::Impl
// details: see section 3.1 of the article
const float* acos_table = getAcosTable();
float local_cost(const Point& p, const Point& q) const
const float sqrt2_inv = 0.7071067811865475f; // 1.0 / sqrt(2)
/** @brief Adds local_cost(p, q) to cost_p.
*
* local_cost(p, q) is computed as
weight_non_edge_compute * non_edge_feature.at<uchar>(q) +
weight_gradient_direction * fD +
weight_gradient_magnitude * fG
*
* @param p point p (input)
* @param q point q (input)
* @param cost_p cost for p (input/output)
* @param cost_q cost for q (input)
*
* @return The boolean result of the (cost_p < cost_q) comparison.
*
* @note The computed output cost_p can be partial if (cost_p < cost_q) is false.
*/
bool add_local_cost(const Point& p, const Point& q, float& cost_p, const float cost_q) const
{
const bool isDiag = (p.x != q.x) && (p.y != q.y);
float fG = gradient_magnitude.at<float>(q);
const Point2f diff((float)(q.x - p.x), (float)(q.y - p.y));
const Point2f Ip = gradient_direction(p);
const Point2f Iq = gradient_direction(q);
const Point2f Dp(Ip.y, -Ip.x); // D(p) - 90 degrees clockwise
const Point2f Dq(Iq.y, -Iq.x); // D(q) - 90 degrees clockwise
float dp = Dp.dot(diff); // dp(p, q)
float dq = Dq.dot(diff); // dq(p, q)
if (dp < 0)
if ((cost_p += weight_non_edge_compute * non_edge_feature.at<uchar>(q)) < cost_q)
{
dp = -dp; // ensure dp >= 0
dq = -dq;
}
const bool isDiag = (p.x != q.x) && (p.y != q.y);
const float sqrt2_inv = 0.7071067811865475f; // 1.0 / sqrt(2)
if (isDiag)
{
dp *= sqrt2_inv; // normalize length of (q - p)
dq *= sqrt2_inv; // normalize length of (q - p)
}
else
{
fG *= sqrt2_inv;
}
float fG = gradient_magnitude.at<float>(q);
if (!isDiag)
{
fG *= sqrt2_inv;
}
if ((cost_p += weight_gradient_magnitude * fG) < cost_q)
{
const Point2f diff((float)(q.x - p.x), (float)(q.y - p.y));
const Point2f Ip = gradient_direction(p);
const Point2f Iq = gradient_direction(q);
const Point2f Dp(Ip.y, -Ip.x); // D(p) - 90 degrees clockwise
const Point2f Dq(Iq.y, -Iq.x); // D(q) - 90 degrees clockwise
float dp = Dp.dot(diff); // dp(p, q)
float dq = Dq.dot(diff); // dq(p, q)
if (dp < 0)
{
dp = -dp; // ensure dp >= 0
dq = -dq;
}
if (isDiag)
{
dp *= sqrt2_inv; // normalize length of (q - p)
dq *= sqrt2_inv; // normalize length of (q - p)
}
#if 1
int dp_i = cvFloor(dp * ACOS_TABLE_SIZE); // dp is in range 0..1
dp_i = std::min(ACOS_TABLE_SIZE, std::max(0, dp_i));
int dq_i = cvFloor(dq * ACOS_TABLE_SIZE); // dq is in range -1..1
dq_i = std::min(ACOS_TABLE_SIZE, std::max(-ACOS_TABLE_SIZE, dq_i));
const float fD = acos_table[dp_i + ACOS_TABLE_SIZE] + acos_table[dq_i + ACOS_TABLE_SIZE];
int dp_i = cvFloor(dp * ACOS_TABLE_SIZE); // dp is in range 0..1
dp_i = std::min(ACOS_TABLE_SIZE, std::max(0, dp_i));
int dq_i = cvFloor(dq * ACOS_TABLE_SIZE); // dq is in range -1..1
dq_i = std::min(ACOS_TABLE_SIZE, std::max(-ACOS_TABLE_SIZE, dq_i));
const float fD = acos_table[dp_i + ACOS_TABLE_SIZE] + acos_table[dq_i + ACOS_TABLE_SIZE];
#else
const float CV_PI_inv = static_cast<float>(1.0 / CV_PI);
const float fD = (acosf(dp) + acosf(dq)) * CV_PI_inv; // TODO optimize acos calls (through tables)
const float CV_PI_inv = static_cast<float>(1.0 / CV_PI);
const float fD = (acosf(dp) + acosf(dq)) * CV_PI_inv; // TODO optimize acos calls (through tables)
#endif
float cost =
weight_non_edge_compute * non_edge_feature.at<uchar>(q) +
weight_gradient_direction * fD +
weight_gradient_magnitude * fG;
return cost;
cost_p += weight_gradient_direction * fD;
}
}
return cost_p < cost_q;
}
struct Pix
@ -625,8 +646,8 @@ struct IntelligentScissorsMB::Impl
CV_DbgCheckLE(cost_q, cost_r, "INTERNAL ERROR: sorted queue is corrupted");
#endif
float cost = cost_q + local_cost(q, r); // TODO(opt): compute partially until cost < cost_r
if (cost < cost_r)
float cost = cost_q;
if (add_local_cost(q, r, cost, cost_r))
{
#if 0 // avoid compiler warning
if (cost_r != FLT_MAX)