ENH: add the internal ComputeImagesStatistics app and connect

Modules/Applications/AppClassification/app/otbKMeansClassification.cxx

@@ -56,7 +56,8 @@ private:
         3) SampleSelection : select the samples by constant strategy in the shapefile, \
         4) SamplesExtraction :  extract the samples descriptors, \
         5) TrainVectorClassifier : train the SharkKMeans model, \
-        6) ImageClassifier : performs the classification of the input image according to a model file."
+        6) ComputeImagesStatistics : compute images second order statistics, \
+        7) ImageClassifier : performs the classification of the input image according to a model file."
 
         "If you want keep the temporary files (sample selected, model file, ...), initialize cleanup parameter.");
 
@@ -123,6 +124,9 @@ private:
                             fileNames.sampleExtractOutput,
                             actualNBSamplesForKMeans);
 
+    // Compute Images second order statistics
+    ComputeImageStatistics(GetParameterString("in"), fileNames.imgStatOutput);
+
     // Compute a train model with TrainVectorClassifier app
     TrainKMModel(GetParameterImage("in"), fileNames.sampleExtractOutput,
                  fileNames.modelFile);

Modules/Applications/AppClassification/include/otbClassKMeansBase.h

@@ -116,6 +116,14 @@ public:
                       std::string sampleTrainFileName,
                       std::string modelFileName);
 
+  /**
+   * Compute image second order statistics
+   * \param imageFileName input image filename
+   * \param imagesStatsFileName image statistics
+   */
+  void ComputeImageStatistics(std::string imageFileName,
+                              std::string imagesStatsFileName);
+
   /**
    * Performs a classification of the input image according to a model file
    */
@@ -137,6 +145,7 @@ public:
           sampleSelectOutput = outPath + "_sampleSelect.shp";
           sampleExtractOutput = outPath + "_sampleExtract.shp";
           modelFile = outPath + "_model.txt";
+          imgStatOutput = outPath + "_imgstats.xml";
         }
 
         void clear()
@@ -146,6 +155,7 @@ public:
           RemoveFile(sampleSelectOutput);
           RemoveFile(sampleExtractOutput);
           RemoveFile(modelFile);
+          RemoveFile(imgStatOutput);
         }
 
         std::string tmpVectorFile;
@@ -153,6 +163,7 @@ public:
         std::string sampleSelectOutput;
         std::string sampleExtractOutput;
         std::string modelFile;
+        std::string imgStatOutput;
 
       private:
         bool RemoveFile(std::string &filePath)

Modules/Applications/AppClassification/include/otbClassKMeansBase.txx

@@ -77,6 +77,7 @@ void ClassKMeansBase::InitKMSampling()
 void ClassKMeansBase::InitKMClassification()
 {
   AddApplication("TrainVectorClassifier", "training", "Model training");
+  AddApplication("ComputeImagesStatistics", "imgstats", "Compute Images second order statistics");
   AddApplication("ImageClassifier", "classif", "Performs a classification of the input image");
 
   ShareKMClassificationParams();
@@ -113,10 +114,12 @@ void ClassKMeansBase::ConnectKMSamplingParams()
 void ClassKMeansBase::ConnectKMClassificationParams()
 {
   Connect("training.cfield", "extraction.field");
+  Connect("training.io.stats","imgstats.out");
 
   Connect("classif.in", "imgenvelop.in");
   Connect("classif.model", "training.io.out");
   Connect("classif.ram", "polystats.ram");
+  Connect("classif.imstat", "imgstats.out");
 }
 
 void ClassKMeansBase::ConnectKMClassificationMask()
@@ -239,6 +242,18 @@ void ClassKMeansBase::TrainKMModel(FloatVectorImageType *image,
   otbAppLogINFO("output model : " << GetInternalApplication("training")->GetParameterString("io.out"));
 }
 
+void ClassKMeansBase::ComputeImageStatistics(std::string imageFileName,
+                                             std::string imagesStatsFileName)
+{
+  std::vector<std::string> imageFileNameList = {imageFileName};
+  GetInternalApplication("imgstats")->SetParameterStringList("il", imageFileNameList, false);
+  GetInternalApplication("imgstats")->SetParameterString("out", imagesStatsFileName, false);
+
+  ExecuteInternal( "imgstats" );
+  otbAppLogINFO("image statistics file : " << GetInternalApplication("imgstats")->GetParameterString("out"));
+}
+
+
 void ClassKMeansBase::KMeansClassif()
 {
   ExecuteInternal( "classif" );