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imagej-elphel
Commit 052eebbb authored by Andrey Filippov's avatar Andrey Filippov
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parent 3357ad5b
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Showing with 35 additions and 136 deletions
src/main/java/com/elphel/imagej/tileprocessor/IntersceneMatchParameters.java
View file @ 052eebbb
......@@ -795,13 +795,14 @@ min_str_neib_fpn 0.35
public int cuas_corr_offset = 20; // offset between motion detection pairs
public boolean cuas_gaussian_ra = true; // use gaussian temporal Gaussian instead of running average
public int cuas_temporal_um = 100; // temporal "unsharp mask" - subtract running
public double cuas_tum_threshold = 5.0; // if >0, remove outliers frim the running average and recalculate RA
public double cuas_tum_threshold = 5.0; // if >0, remove outliers from the running average and recalculate RA
public int cuas_precorr_ra = 10; // rolling average before correlation
public int cuas_corr_step = 2; // correlation step when using rolling average
public boolean cuas_half_step = true; // half step (=cuas_corr_offset/2) when scanning for motion
public int cuas_max_range = 2; // how far to extend local max: 1 3x3 neighbors, 2 - 5x5 neighbs
public int cuas_fin_range = 2; // for final filtering
public int cuas_num_cycles = 25; // number of cycles of testing and removing bad targets // will get out earlier
public int cuas_mul_samples = 3; // multiply number of samples in slow mode
public int cuas_mul_offset = 5; // multiply correlation offset in slow mode
......@@ -894,6 +895,8 @@ min_str_neib_fpn 0.35
public double cuas_slow_fast_mismatch = 1.5; // allow larger mismatch between slow and fast
public double cuas_match_len_pwr = 0.5; // raise matching length to this power for calculating score
public double cuas_offcenter = 0.5; // maximal off-center relative to the tile size (0.5 - how it was, +/-4 pix)
public boolean cuas_fail_mismatch = false; // fail high mismatch early
public boolean cuas_ignore_mismatch = false; // calculate mismatch but do not remove
......@@ -2689,6 +2692,8 @@ min_str_neib_fpn 0.35
"Reduce step for motion detection = offset/2, if false = offset.");
gd.addNumericField("Local max range", this.cuas_max_range, 0,3,"",
"While filtering local correlation maximums: 1 - 3x3 neighbors, 2 - 5x5 ones.");
gd.addNumericField("Local final max range", this.cuas_fin_range, 0,3,"",
"While filtering local correlation maximums: 0 - 1x1 (ignore neighbors), 1 - 3x3 neighbors, 2 - 5x5 ones.");
gd.addNumericField("Number of enhancement cycles", this.cuas_num_cycles, 0,3,"",
"Number of cycles of testing and removing bad targets from compoetition with weaker neighbors.");
......@@ -2858,6 +2863,9 @@ min_str_neib_fpn 0.35
gd.addNumericField("Matching length power", this.cuas_match_len_pwr, 5,8,"",
"Raise matching length to this power for calculating score.");
gd.addNumericField("Maximal offset from the tile center", this.cuas_offcenter, 5,8,"",
"Maximal relative offset of the maximum as a fraction of ther tile size (0.5 -> +/-4 pix).");
gd.addCheckbox ("Fail mismatch early", this.cuas_fail_mismatch,
"Fail after score calculation if there is not match both before and after.");
gd.addCheckbox ("Ignore mismatch", this.cuas_ignore_mismatch,
......@@ -4321,6 +4329,7 @@ min_str_neib_fpn 0.35
this.cuas_half_step = gd.getNextBoolean();
this.cuas_max_range = (int) gd.getNextNumber();
this.cuas_fin_range = (int) gd.getNextNumber();
this.cuas_num_cycles = (int) gd.getNextNumber();
this.cuas_mul_samples = (int) gd.getNextNumber();
......@@ -4404,6 +4413,7 @@ min_str_neib_fpn 0.35
this.cuas_good_mismatch = gd.getNextNumber();
this.cuas_slow_fast_mismatch = gd.getNextNumber();
this.cuas_match_len_pwr = gd.getNextNumber();
this.cuas_offcenter = gd.getNextNumber();
this.cuas_fail_mismatch = gd.getNextBoolean();
this.cuas_ignore_mismatch = gd.getNextBoolean();
......@@ -5610,6 +5620,7 @@ min_str_neib_fpn 0.35
properties.setProperty(prefix+"cuas_half_step", this.cuas_half_step+""); // boolean
properties.setProperty(prefix+"cuas_max_range", this.cuas_max_range+""); // int
properties.setProperty(prefix+"cuas_fin_range", this.cuas_fin_range+""); // int
properties.setProperty(prefix+"cuas_num_cycles", this.cuas_num_cycles+""); // int
properties.setProperty(prefix+"cuas_mul_samples", this.cuas_mul_samples+""); // int
......@@ -5690,6 +5701,7 @@ min_str_neib_fpn 0.35
properties.setProperty(prefix+"cuas_good_mismatch", this.cuas_good_mismatch+""); // double
properties.setProperty(prefix+"cuas_slow_fast_mismatch",this.cuas_slow_fast_mismatch+"");// double
properties.setProperty(prefix+"cuas_match_len_pwr", this.cuas_match_len_pwr+""); // double
properties.setProperty(prefix+"cuas_offcenter", this.cuas_offcenter+""); // double
properties.setProperty(prefix+"cuas_fail_mismatch", this.cuas_fail_mismatch+""); // boolean
properties.setProperty(prefix+"cuas_ignore_mismatch", this.cuas_ignore_mismatch+"");// boolean
......@@ -6834,6 +6846,7 @@ min_str_neib_fpn 0.35
if (properties.getProperty(prefix+"cuas_half_step")!=null) this.cuas_half_step=Boolean.parseBoolean(properties.getProperty(prefix+"cuas_half_step"));
if (properties.getProperty(prefix+"cuas_max_range")!=null) this.cuas_max_range=Integer.parseInt(properties.getProperty(prefix+"cuas_max_range"));
if (properties.getProperty(prefix+"cuas_fin_range")!=null) this.cuas_fin_range=Integer.parseInt(properties.getProperty(prefix+"cuas_fin_range"));
if (properties.getProperty(prefix+"cuas_num_cycles")!=null) this.cuas_num_cycles=Integer.parseInt(properties.getProperty(prefix+"cuas_num_cycles"));
if (properties.getProperty(prefix+"cuas_mul_samples")!=null) this.cuas_mul_samples=Integer.parseInt(properties.getProperty(prefix+"cuas_mul_samples"));
......@@ -6915,6 +6928,7 @@ min_str_neib_fpn 0.35
if (properties.getProperty(prefix+"cuas_good_mismatch")!=null) this.cuas_good_mismatch=Double.parseDouble(properties.getProperty(prefix+"cuas_good_mismatch"));
if (properties.getProperty(prefix+"cuas_slow_fast_mismatch")!=null)this.cuas_slow_fast_mismatch=Double.parseDouble(properties.getProperty(prefix+"cuas_slow_fast_mismatch"));
if (properties.getProperty(prefix+"cuas_match_len_pwr")!=null) this.cuas_match_len_pwr=Double.parseDouble(properties.getProperty(prefix+"cuas_match_len_pwr"));
if (properties.getProperty(prefix+"cuas_offcenter")!=null) this.cuas_offcenter=Double.parseDouble(properties.getProperty(prefix+"cuas_offcenter"));
if (properties.getProperty(prefix+"cuas_fail_mismatch")!=null) this.cuas_fail_mismatch=Boolean.parseBoolean(properties.getProperty(prefix+"cuas_fail_mismatch"));
if (properties.getProperty(prefix+"cuas_ignore_mismatch")!=null) this.cuas_ignore_mismatch=Boolean.parseBoolean(properties.getProperty(prefix+"cuas_ignore_mismatch"));
......@@ -8074,6 +8088,7 @@ min_str_neib_fpn 0.35
imp.cuas_corr_step = this.cuas_corr_step;
imp.cuas_half_step = this.cuas_half_step;
imp.cuas_max_range = this.cuas_max_range;
imp.cuas_fin_range = this.cuas_fin_range;
imp.cuas_num_cycles = this.cuas_num_cycles;
imp.cuas_mul_samples = this.cuas_mul_samples;
imp.cuas_mul_offset = this.cuas_mul_offset;
......@@ -8154,6 +8169,7 @@ min_str_neib_fpn 0.35
imp.cuas_good_mismatch = this.cuas_good_mismatch;
imp.cuas_slow_fast_mismatch = this.cuas_slow_fast_mismatch;
imp.cuas_match_len_pwr = this.cuas_match_len_pwr;
imp.cuas_offcenter = this.cuas_offcenter;
imp.cuas_fail_mismatch = this.cuas_fail_mismatch;
imp.cuas_ignore_mismatch = this.cuas_ignore_mismatch;
......
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