diff --git a/modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp b/modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp
index 2fa97e8a2..9fefbb1fa 100644
--- a/modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp
+++ b/modules/saliency/include/opencv2/saliency/saliencySpecializedClasses.hpp
@@ -162,12 +162,12 @@ You can passes your own DNN layers into the DeepGaze1 object and retrain it with
 class CV_EXPORTS_W DeepGaze1 : public StaticSaliency
 {
 private:
-	/** @brief This is the field to store the input DNN
-	 * @sa dnn::Net
-	 */
+    /** @brief This is the field to store the input DNN
+     * @sa dnn::Net
+     */
     dnn::Net net;
-	/** @brief This is the field to store the name of selected layer
-	 */
+    /** @brief This is the field to store the name of selected layer
+     */
     std::vector<std::string> layers_names;
     /** @brief This is the field to store the weight of selected layer
     */
@@ -297,11 +297,11 @@ This method also provides an optimization framework may help foreground based sa
 class CV_EXPORTS_W BackgroundContrast : public StaticSaliency
 {
 private:
-	/** @brief
-	 * limitOfSp is the maximum number of superpixel
-	 * nOfLevel, usePrior, histBin is same as the seed superpixel method
-	 * bgWei determine the weight of background when optimized with foreground method
-	*/
+    /** @brief
+     * limitOfSp is the maximum number of superpixel
+     * nOfLevel, usePrior, histBin is same as the seed superpixel method
+     * bgWei determine the weight of background when optimized with foreground method
+    */
     int limitOfSP;
     int nOfLevel;
     int usePrior;
diff --git a/modules/saliency/samples/DeepGaze1Sample.cpp b/modules/saliency/samples/DeepGaze1Sample.cpp
index 6cc6b1c60..2e2e72a32 100644
--- a/modules/saliency/samples/DeepGaze1Sample.cpp
+++ b/modules/saliency/samples/DeepGaze1Sample.cpp
@@ -26,7 +26,7 @@ int main(int argc, char* argv[])
         "{ help h usage ? |     | show this message }"
         "{ train          |0    | set training on }"
         "{ default        |1    | use default deep net(AlexNet) and default weights }"
-    	"{ AUC            |0    | calculate AUC with input fixation map }"
+        "{ AUC            |0    | calculate AUC with input fixation map }"
         "{ img_path       |     | path to folder with img }"
         "{ fix_path       |     | path to folder with fixation img for compute AUC }"
         "{ model_path     |bvlc_alexnet.caffemodel   | path to your caffe model }"
diff --git a/modules/saliency/src/BackgroundContrast.cpp b/modules/saliency/src/BackgroundContrast.cpp
index 4d3e6ff80..9d7eca2c5 100644
--- a/modules/saliency/src/BackgroundContrast.cpp
+++ b/modules/saliency/src/BackgroundContrast.cpp
@@ -35,11 +35,11 @@ namespace saliency
 
 BackgroundContrast::BackgroundContrast()
 {
-	bgWei = 5;
-	limitOfSP = 600;
-	nOfLevel = 4;
-	usePrior = 2;
-	histBin = 5;
+    bgWei = 5;
+    limitOfSP = 600;
+    nOfLevel = 4;
+    usePrior = 2;
+    histBin = 5;
 }
 BackgroundContrast::BackgroundContrast( double _bgWei, int _limitOfSP, int _nOfLevel, int _usePrior, int _histBin ): limitOfSP(_limitOfSP), nOfLevel(_nOfLevel), usePrior(_usePrior), histBin(_histBin), bgWei(_bgWei) {}
 BackgroundContrast::~BackgroundContrast(){}