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Table 5 Skin detection scores computed in the seeds at subsequent processing steps

From: Self-adaptive algorithm for segmenting skin regions

 

ECU data set

HGR data set

 

F-measure

prec

rec seed

F-measure

prec

rec seed

Initial seeds

0.9233

90.64%

94.08%

0.9943

99.22%

99.65%

Seeds expanded using the RP domain

      

and γ Δ (SP) local costs to expand the seeds

      

Expanded seeds

0.9279

90.10%

95.64%

0.9961

99.49%

99.73%

Adapted seeds (Gaussian)

0.9536

91.63%

99.41%

0.9967

99.72%

99.63%

Adapted seeds (H-256)

0.9511

92.32%

98.08%

0.9828

99.85%

96.76%

Adapted seeds (H-128)

0.9527

92.24%

98.50%

0.9845

99.83%

97.11%

Adapted seeds (H-64)

0.9518

91.49%

99.18%

0.9881

99.64%

98.00%

Adapted seeds (H-32)

0.9419

89.35%

99.58%

0.9954

99.35%

99.73%

Adapted seeds (H-16)

0.9153

84.56%

99.76%

0.9936

98.83%

99.90%

Adapted seeds (H-8)

0.8834

79.18%

99.88%

0.9918

98.38%

99.98%

Seeds expanded using the DSPF domain

      

and γ Δ (HL) local costs to expand the seeds

      

Expanded seeds

0.9337

91.41%

95.41%

0.9957

99.42%

99.73%

Adapted seeds (Gaussian)

0.9539

91.78%

99.29%

0.9958

99.43%

99.73%

Adapted seeds (H-256)

0.9515

92.91%

97.52%

0.9882

99.79%

97.87%

Adapted seeds (H-128)

0.9533

92.81%

98.00%

0.9888

99.74%

98.04%

Adapted seeds (H-64)

0.9546

92.06%

99.12%

0.9923

99.54%

98.92%

Adapted seeds (H-32)

0.9455

89.97%

99.62%

0.9959

99.29%

99.89%

Adapted seeds (H-16)

0.9246

86.13%

99.80%

0.9944

98.92%

99.97%

Adapted seeds (H-8)

0.8960

81.26%

99.85%

0.9919

98.42%

99.98%

  1. H-n is the color histogram with n bins per channel.