A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

EURASIP Journal on Image and Video Processing

Table 2 Performance results of the proposed identification of infection parts in the fruits and plants

Infection part identification results
Image no	Accuracy (%)	Jaccard Index (%)	FNR (%)
1	93.10	91.73	6.90
2	94.28	92.66	5.72
3	91.17	93.63	8.83
4	95.63	92.73	4.37
5	91.63	95.80	8.37
6	90.93	90.00	9.07
7	92.79	95.20	7.21
8	89.93	99.26	10.07
9	94.97	95.79	5.03
10	90.99	92.94	9.01
11	90.44	91.58	9.56
12	88.38	92.45	11.2
13	90.36	93.52	9.64
14	88.20	90.74	11.8
15	91.76	93.80	8.24
16	92.19	94.12	7.81
17	92.71	93.73	7.29
18	93.69	94.97	6.31
19	94.90	95.16	5.10
20	94.96	95.92	6.04
Average	93.74	94.17	6.26