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EURASIP Journal on Image and Video Processing

Table 3 Classification performance on the ICPR 2012 dataset

From: Automated classification for HEp-2 cells based on linear local distance coding framework

 

Cell level

Cell level

Image level

Algorithm

Classification

Recall (%)

Classification

 

accuracy (%)

 

accuracy (%)

LSC-(sift+ldv)a

71.7

72.9

85.7

LSC-(sift+dv)b

67.7

69.2

78.6

LSC-ldvc

67.4

68.9

78.6

LSC-siftd

66.4

68.1

78.6

LLC-(sift+ldv)e

70.9

71.6

78.6

LLC-(sift+dv)f

69.3

70.6

78.6

LLC-ldvg

69.1

70.9

78.6

LLC-sifth

68.9

70.1

78.6

  1. The italicized items represent the best performance.
  2. aThe LLDC method based on the concatenated representations from LSC-sift and LSC-ldv.
  3. bThe LDC method based on the concatenated representations from LSC-sift and LSC-dv.
  4. cThe LSC method based on local distance vector.
  5. dThe LSC method based on SIFT features.
  6. eThe LLDC method based on the concatenated representations from LLC-sift and LLC-ldv.
  7. fThe LDC method based on the concatenated representations from LLC-sift and LLC-dv.
  8. gThe LLC method based on local distance vector.
  9. hThe LLC method based on SIFT features.
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