Page 186 - Handbook of Deep Learning in Biomedical Engineering Techniques and Applications

Chapter 6 Plant leaf disease classification based on feature selection 175

(A)
Training vs Validation Loss
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Loss 5 4

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0
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Epoch
Training loss Validation loss

(B) Training vs Validation Accuracy

90.0%
80.0%
70.0%
60.0%
Accuracy 50.0%
40.0%
30.0%
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10.0%
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Training acc Validation acc
Figure 6.18 Training and validation result of VGG16 with transfer learning.

• Major axis length: length (in pixels) of the major axis of the
ellipse that has the same normalized second central
moments as the separated
• Minor axis length: length (in pixels) of the minor axis of the
ellipse that has the same normalized second central
moments as the region
• Eccentricity: Eccentricity of the ellipse that has the same
second moments as the region, returned as a scalar, the
eccentricity is the ratio of the distance between the foci of
the ellipse and its major axis length