#include #include "includes/fusion.h" /** * Returns the mean fusion of two feature maps. * * @param f_on_off feature map on off * @param f_off_on feature map off on * @return conspicuity map */ cv::Mat mean_fusion(cv::Mat f_on_off, cv::Mat f_off_on) { cv::Mat C_l = 0.5 * (f_on_off + f_off_on); double max_on_off; double max_off_on; cv::minMaxLoc(f_on_off, nullptr, &max_on_off); cv::minMaxLoc(f_off_on, nullptr, &max_off_on); double max = max_on_off >= max_off_on ? max_on_off : max_off_on; cv::normalize(C_l, C_l, 0, max, cv::NORM_MINMAX, -1); return C_l.clone(); } /** * Returns the max fusion of two feature maps. * * @param f_on_off feature map on off * @param f_off_on feature map off on * @return conspicuity map */ cv::Mat max_fusion(cv::Mat f_on_off, cv::Mat f_off_on) { cv::Mat C_l = cv::max(f_on_off, f_off_on); double max_on_off; double max_off_on; cv::minMaxLoc(f_on_off, nullptr, &max_on_off); cv::minMaxLoc(f_off_on, nullptr, &max_off_on); double max = max_on_off >= max_off_on ? max_on_off : max_off_on; cv::normalize(C_l, C_l, 0, max, cv::NORM_MINMAX, -1); return C_l.clone(); } /** * Computes the saliency map using mean fusion. * * @param C_l conspicuity map for L channel * @param C_a conspicuity map for A channel * @param C_b conspicuity map for B channel * @return saliency map */ cv::Mat mean_fusion_saliency(cv::Mat C_l, cv::Mat C_a, cv::Mat C_b) { cv::Mat S = (1/3.0) * (C_l + C_a + C_b); double max_C_l; double max_C_a; double max_C_b; cv::minMaxLoc(C_l, nullptr, &max_C_l); cv::minMaxLoc(C_a, nullptr, &max_C_a); cv::minMaxLoc(C_b, nullptr, &max_C_b); double max = max_C_l >= max_C_a ? (max_C_l >= max_C_b ? max_C_l : max_C_b) : (max_C_a >= max_C_b ? max_C_a : max_C_b); cv::normalize(S, S, 0, max, cv::NORM_MINMAX, -1); return S; } /** * Computes the saliency map using max fusion. * * @param C_l conspicuity map for L channel * @param C_a conspicuity map for A channel * @param C_b conspicuity map for B channel * @return saliency map */ cv::Mat max_fusion_saliency(cv::Mat C_l, cv::Mat C_a, cv::Mat C_b) { cv::Mat S = cv::max(C_l, C_a); S = cv::max(S, C_b); double max_C_l; double max_C_a; double max_C_b; cv::minMaxLoc(C_l, nullptr, &max_C_l); cv::minMaxLoc(C_a, nullptr, &max_C_a); cv::minMaxLoc(C_b, nullptr, &max_C_b); double max = max_C_l >= max_C_a ? (max_C_l >= max_C_b ? max_C_l : max_C_b) : (max_C_a >= max_C_b ? max_C_a : max_C_b); cv::normalize(S, S, 0, max, cv::NORM_MINMAX, -1); return S; }