Feature Extraction with Ordered Mean Values for Content Based Image Classification

Table 11

Confusion matrix for Caltech dataset for feature extraction with ordered mean (RIDOR classifier).

a	b	c	d	e	f	g	h	i	j	k	l	m	n	o	p	q	r	s	t	← classified as
30	0	0	0	0	14	1	0	0	0	0	0	43	0	0	0	0	0	0	1	∣ a = Airplane
2	5	4	1	2	30	4	1	6	0	0	1	31	0	0	0	1	2	0	10	∣ b = Bonsai
0	3	4	1	0	23	1	2	1	0	0	0	7	0	0	0	1	0	0	4	∣ c = Panther
0	0	0	2	0	38	1	1	0	0	0	1	22	0	0	0	0	0	0	2	∣ d = Dalmatian
0	2	0	0	33	13	1	0	1	0	0	4	4	0	0	0	0	1	0	5	∣ e = Dolphin
0	0	0	0	0	418	1	0	0	0	0	0	13	0	0	0	0	0	0	3	∣ f = Faces
1	1	3	0	1	32	10	1	3	0	0	0	5	1	0	0	0	1	0	8	∣ g = Flamingo
0	0	4	0	0	22	0	2	1	0	0	0	1	0	0	0	2	0	0	1	∣ h = Deer
0	0	2	2	0	18	3	0	46	0	0	1	20	0	1	0	0	1	0	5	∣ i = Piano
0	0	0	0	0	5	1	0	3	0	0	0	21	0	0	0	0	0	0	0	∣ j = Skates
0	1	0	0	1	14	0	0	1	0	1	0	11	0	0	0	0	0	0	2	∣ k = Metronome
1	0	0	0	1	7	1	0	4	0	0	52	3	0	0	0	0	1	0	3	∣ l = Minar
2	0	2	0	2	43	0	0	6	0	0	0	724	0	0	1	0	2	0	9	∣ m = Motorbike
0	1	0	0	0	12	2	0	6	0	0	0	10	2	0	2	0	0	0	0	∣ n = Panda
1	2	0	0	0	8	3	0	7	0	0	1	20	0	2	0	1	0	0	9	∣ o = Football
0	1	0	0	3	13	7	0	1	0	0	0	9	0	0	26	1	0	0	2	∣ p = Stopsign
6	1	1	0	1	15	2	1	1	0	0	1	7	0	0	1	42	1	0	5	∣ q = Sunflower
2	2	1	0	2	25	1	0	2	0	0	5	9	0	0	0	0	10	0	2	∣ r = Trees
1	0	0	0	1	7	1	0	3	0	0	52	2	0	0	0	0	1	0	3	∣ s = Monument
1	4	2	1	2	91	6	0	6	0	0	1	68	0	1	0	0	1	0	54	∣ t = Watches