BDD, BNN, and FPGA on Fuzzy Techniques for Rapid System Analysis

Table 1

Data reproduced from [1]. Data representing the target classification, and the various extracted attributes of the visual scene.

Target no.	Distance	Aspect	Vert	Area	Target lum	Dark area lum	Surround lum	Edgepts	Search time
Type	m	ass (sin)	Pixels	(Pixels)	Scene	Dark	Grass	Pts	Search time (s)
1	4007	0.71	10	141	14	17	29	9571	14.6
1	2998	0.82	11	225	21	10	27	8927	15.2
2	3974	0.71	13	173	20	24	28	9138	12.4
3	5377	0.05	5	49	18	23	30	8970	29.8
2	1013	0.52	50	2708	19	5	34	8706	2.8
4	3052	0.00	11	100	12	18	30	8755	6.4
5	5188	0.41	9	76	18	23	28	9053	26.7
6	3679	0.12	10	96	12	20	26	8620	10.0
2	860	1.00	54	3425	9	1.5	40	8961	2.7
4	1951	0.85	16	332	15	11	27	8572	2.8
3	3992	0.79	11	154	20	19	26	9194	11.9
6	1041	0.74	24	1645	11	4	35	9074	2.5
7	2145	0.98	17	553	8	5	18	8280	3.7
3	1998	0.76	19	659	20	10	22	8739	8.1
2	4410	0.00	11	101	22	18	29	9404	12.4
1	2893	0.42	16	320	12	7	23	8670	2.5
5	1933	0.98	13	368	15	12	23	8606	4.8
1	1850	0.96	28	876	3	4	9	8464	2.8
8	1045	0.09	26	985	19	10	12	8613	12.3
2	1933	0.95	22	867	16	11	27	8376	2.8
7	4206	0.00	9	79	26	29	38	9506	15.1
1	5722	0.88	7	73	38	40	46	9044	25.6
4	4920	0.42	8	61	20	21	36	8618	12.1
6	4206	0.81	9	142	18	12	21	9152	8.0
5	2348	0.94	9	198	18	21	30	8504	5.5
1	3992	0.88	11	217	15	14	26	9078	7.8
9	4410	0.96	11	247	16	8	19	9397	9.6
8	2321	0.83	15	458	22	21	47	8365	5.1
5	3661	0.76	9	84	17	25	23	8807	7.5
3	3670	0.00	13	192	14	15	27	8483	6.1
7	1671	1.00	19	893	15	13	31	8959	3.5
4	4345	0.81	8	63	15	12	20	9021	12.3
2	3662	0.57	10	203	26	25	44	8702	5.4
5	633	0.71	50	4403	20	5	39	8741	2.5
3	492	0.07	57	3045	20	16	23	8992	2.2
4	1497	0.78	16	560	10	7	20	9014	5.8
5	1041	1.00	33	1613	17	5	32	8486	2.6
1	2891	0.99	19	486	12	12	35	9021	12.1
7	5147	0.93	5	81	18	27	34	9075	34.9
6	1648	0.59	18	648	23	7	37	9070	2.7
8	948	0.73	35	1463	18	5	38	8790	3.7
7	3662	0.41	12	188	19	25	39	8524	5.8
6	2900	0.00	17	340	20	10	49	8791	4.1
2	5136	0.00	10	79	25	16	27	8941	10.6