Code: Synthetic test image output and input

Article/expe.tex

@@ -15,7 +15,7 @@ thickness value output by the new detector.
 Moreover, we did not find any data base with ground truth including
 line thickness.
 Therefore, we proceed in two steps:
-(i) evaluation on synthetic images of the new concepts enhancements
+(i) evaluation on synthetic images of the new concepts enhancement
 on line orientation and thickness estimation;
 (ii) evaluation of more global performance of the proposed approach
 compared to other detectors.

Code/FBSD/BSTools/bsrandomtester.h

@@ -29,7 +29,13 @@ public:
   ~BSRandomTester ();
 
   /**
-   * \brief Runs a random test.
+   * \brief Runs or replays a single random test.
+   * @param in Replays if set to true, otherwise runs a new test.
+   */
+  void singleTest (bool in);
+
+  /**
+   * \brief Runs a complete random test.
    */
   void randomTest ();
 
@@ -150,11 +156,27 @@ private:
   double *m_long_absadiff;
 
 
+  /**
+   * \brief Initializes local data associated to the count of runs.
+   */
+  void initRuns ();
+
+  /**
+   * \brief Initializes local data associated to the count of random segments.
+   */
+  void initSegs ();
+
   /**
    * \brief Generates a new random image of segments.
    */
   void generateImage ();
 
+  /**
+   * \brief Loads a randomly generated image of segments.
+   * Returns the loading success condition.
+   */
+  bool reloadImage ();
+
   /**
    * \brief Builds and returns the tested maps.
    */

Code/FBSD/main.cpp

@@ -11,6 +11,7 @@ int main (int argc, char *argv[])
   int val = 0;
   int imageName = 0;
   bool random = false, testing = false;
+  bool randout = false, randin = false;  // DEV
   bool xt = false, yt = false;    // DEV
   bool out = false;
   QApplication app (argc, argv);
@@ -33,6 +34,18 @@ int main (int argc, char *argv[])
     if (string(argv[i]).at(0) == '-')
     {
       if (string(argv[i]) == string ("-random")) random = true;
+// DEV IN
+      else if (string(argv[i]) == string ("-randout"))
+      {
+        random = true;
+        randout = true;
+      }
+      else if (string(argv[i]) == string ("-randin"))
+      {
+        random = true;
+        randin = true;
+      }
+// DEV OUT
       else if (string(argv[i]) == string ("-test")) testing = true;
 // DEV IN
       else if (string(argv[i]) == string ("-own"))
@@ -100,11 +113,16 @@ int main (int argc, char *argv[])
   if (random)
   {
     BSRandomTester *tester = new BSRandomTester ();
-    tester->randomTest ();
+// DEV IN
+    if (randout) tester->singleTest (false);
+    else if (randin) tester->singleTest (true);
+    else
+// DEV OUT
+      tester->randomTest ();
     delete tester;
     return (EXIT_SUCCESS);
   }
-  else if (out)
+  if (out)
   {
     QImage im;
     if (imageName != 0) im.load (argv[imageName]);

Methode/answerToReview.tex

@@ -34,7 +34,7 @@ We would like to thank the editors and reviewers for their work and
 for their constructive comments, questions and suggestions.
 Because the paper already reaches the 10 pages limit, and in order to
 avoid removal of possibly valuable contents for paper understanding,
-additional data are added to the github, that is referenced in the paper
+complementary data are added to the github, that is referenced in the paper
 ({\tt https://github.com/evenp/FBSD}).
 A detailed list of the changes is given below with also some specific
 answers to raised questions.
@@ -73,7 +73,7 @@ encourages reproducibility.
 \item Writing quality of the paper is good.
 \end{itemize}
 \begin{answer}
-Thanks.
+Thanks for positive remarks.
 \end{answer}
 
 \item {\bf 3. Weaknesses. Consider significance of key ideas, experiments,
@@ -90,7 +90,7 @@ Recognition (pp. 2031-2039).]), but mainly with three literature works,
 latest of which was published in 2015. \\
 
 \begin{answer}
-Thanks for pointing this out. We have added this reference to the paper.
+Thanks for pointing this out. We have added this reference in the paper.
 However, we prefer let the evaluations to be completed in an extended journal
 version for several reasons:
 (i) the source code provided by the authors is written in Matlab, that
@@ -99,7 +99,7 @@ language);
 (ii) this method presents some important ranking level parameters which
 could largely influence achieved results,
 and it should require more time to ensure fair comparisons. \\
-We briefly mention it at the beginning of section 4.
+We briefly mention these points in the paper at the beginning of section 4.
 \end{answer}
 
 Some notes are as belows:
@@ -125,13 +125,13 @@ that were used in the experiments and the performance of both versions of
 the method obtained on them ?
 \begin{answer}
 Due to page limitations (the organizers rather suggested us to add
-complementary materials in a web page), we could not add any figure nor
-respective performance result in the paper. However, a couple of examples
-of synthesized images is already available in the mentioned github, and
-we have completed the table with associated results. In accordance to the
-measured standard deviations obtained on the whole set of 1000 randomly
-generated images, large variations can be observed in such results on
-individual images.
+complementary materials in a referenced web page), we could not add any
+figure nor respective performance result in the paper. However, a couple
+of examples of synthesized images is already available in the mentioned
+github, and we have completed the table with associated results.
+In accordance to the measured standard deviations obtained on the whole
+set of 1000 randomly generated images, large variations can be observed
+in such results on individual images.
 \end{answer}
 
 \item What is understood from the paper is the performance results presented
@@ -169,7 +169,7 @@ Experiments on synthetic images aim at assessing the improved performance
 beween formal and actual versions of the detector, including the thickness
 value estimation. The synthesized images are generated with a thickness
 varying from 2 up to 5 pixels.
-Therefore the initial assigned thickness is set to a greater value : 7. \\
+Therefore the initial assigned thickness is set to a greater value: 7. \\
 The other detectors aim at providing thin lines and may reject too
 scattered image lines. To adapt to this behavior, we retrict the detection
 to thin lines using the initial assigned thickness to 3 pixels. \\
@@ -189,7 +189,7 @@ We have added all the required informations in the github
 table (T, N and L values were already available, along with mean thickness W).
 We notice that achieved values have less meaning here, because as explained
 in the paper, the lines detected by the former method are more likely to
-incorporate spurious points, that artificially grow the width and length
+incorporate spurious points, that artificially grows the width and length
 values.
 \end{answer}
 

Methode/ctrl.tex

@@ -116,7 +116,11 @@ $< \wedge > \vee$ && D\'ecalage de l'observation \\
 \multicolumn{3}{|l|}{Param\`etres d'ex\'ecution :} \\
 {\tt -out} && Sort les lignes d'une d\'etection auto sur l'image fournie
 dans {\tt naivelines.txt}. \\
-{\tt -random} && Lance un test de perfomance sur images synth\'etiques. \\
+{\tt -random} && Lance un test de perfomance sur 1000 images synth\'etiques. \\
+{\tt -randout}
+&& Lance un test de perfomance sur 1 image synth\'etique avec sauvegarde. \\
+{\tt -randin}
+&& Rejoue un test de perfomance sur 1 image synth\'etique sauvegard\'ee. \\
 \hline
 \end{tabular}