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[CCV] Added generic mean and max fusion functions

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Signed-off-by: Jim Martens <github@2martens.de>
This commit is contained in:
Jim Martens
2017-05-30 17:17:12 +02:00
parent 9d5d57b1c5
commit 8899b8403a
2 changed files with 59 additions and 1 deletions
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58
ccv/saliency/fusion.cpp
View File

@ -39,6 +39,62 @@ cv::Mat max_fusion(cv::Mat f_on_off, cv::Mat f_off_on) {
return C_l.clone();
}
/**
* Returns the mean fusion.
*
* @param feature_maps vector of feature maps
* @return conspicuity map
*/
cv::Mat mean_fusion_generic(const std::vector<cv::Mat> feature_maps) {
unsigned long number_of_features = feature_maps.size();
cv::Mat sum_of_features;
double max = -1;
for (auto& f : feature_maps) {
sum_of_features += f;
double max_value;
cv::minMaxLoc(f, nullptr, &max_value);
if (max_value >= max) {
max = max_value;
}
}
cv::Mat C = 1/number_of_features * sum_of_features;
cv::normalize(C, C, 0, max, cv::NORM_MINMAX, -1);
return C.clone();
}
/**
* Returns the max fusion.
*
* @param feature_maps vector of feature maps
* @return conspicuity map
*/
cv::Mat max_fusion_generic(const std::vector<cv::Mat> feature_maps) {
unsigned long number_of_features = feature_maps.size();
cv::Mat C;
bool first_value = true;
double max = -1;
for (auto& f : feature_maps) {
double max_value;
cv::minMaxLoc(f, nullptr, &max_value);
if (max_value >= max) {
max = max_value;
}
if (first_value) {
C = f;
first_value = false;
}
else {
C = cv::max(C, f);
}
}
cv::normalize(C, C, 0, max, cv::NORM_MINMAX, -1);
return C.clone();
}
/**
* Computes the saliency map using mean fusion.
*
@ -48,7 +104,7 @@ cv::Mat max_fusion(cv::Mat f_on_off, cv::Mat f_off_on) {
* @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);
cv::Mat S = (1 / 3.0) * (C_l + C_a + C_b);
double max_C_l;
double max_C_a;
double max_C_b;

2
ccv/saliency/includes/fusion.h
View File

@ -3,6 +3,8 @@
cv::Mat mean_fusion(cv::Mat f_on_off, cv::Mat f_off_on);
cv::Mat max_fusion(cv::Mat f_on_off, cv::Mat f_off_on);
cv::Mat mean_fusion_generic(const std::vector<cv::Mat> feature_maps);
cv::Mat max_fusion_generic(const std::vector<cv::Mat> feature_maps);
cv::Mat mean_fusion_saliency(cv::Mat C_l, cv::Mat C_a, cv::Mat C_b);
cv::Mat max_fusion_saliency(cv::Mat C_l, cv::Mat C_a, cv::Mat C_b);