Comparison of Detection and Classification Algorithms Using Boolean and Fuzzy Techniques

Table 10

Sample data from [5] reduced to Boolean.

Target number	Distance	Aspect	Vert	Area	Target lumn	Dark area lumn	Surround lumn	Edge pts	Search time
Type	m	Ass (sin)	Pixels	(Pixels)	Scene	Dark	Grass	Pts	Search time (s)
1	1	1	0	0	0	0	0	1	0
1	1	1	0	0	1	0	0	0	0
2	1	1	0	0	1	1	0	1	0
3	1	0	0	0	0	1	1	1	1
2	0	1	1	1	1	0	1	0	0
4	1	0	0	0	0	0	1	0	0
5	1	0	0	0	0	1	0	1	1
6	1	0	0	0	0	1	0	0	0
2	0	1	1	1	0	0	1	1	0
4	0	1	0	0	0	0	0	0	0
3	1	1	0	0	1	0	0	1	0
6	0	1	0	0	0	0	1	1	0
7	0	1	0	0	0	0	0	0	0
3	0	1	0	0	1	0	0	0	0
2	1	0	0	0	1	0	0	1	0
1	0	0	0	0	0	0	0	0	0
5	0	1	0	0	0	0	0	0	0
1	0	1	0	0	0	0	0	0	0
8	0	0	0	0	1	0	0	0	0
2	0	1	0	0	0	0	0	0	0
7	1	0	0	0	1	1	1	1	0
1	1	1	0	0	1	1	1	1	1
4	1	0	0	0	1	1	1	0	0
6	1	1	0	0	0	0	0	1	0
5	0	1	0	0	0	1	1	0	0
1	1	1	0	0	0	0	0	1	0
9	1	1	0	0	0	0	0	1	0
8	0	1	0	0	1	1	1	0	0
5	1	1	0	0	0	1	0	0	0
3	1	0	0	0	0	0	0	0	0
7	0	1	0	0	0	0	1	1	0
4	1	1	0	0	0	0	0	1	0
2	1	1	0	0	1	1	1	0	0
5	0	1	1	1	1	0	1	0	0
3	0	0	1	1	1	0	0	1	0
4	0	1	0	0	0	0	0	1	0
5	0	1	1	0	0	0	1	0	0
1	0	1	0	0	0	0	1	1	0
7	1	1	0	0	0	1	1	1	1
6	0	1	0	0	1	0	1	1	0
8	0	1	1	0	0	0	1	0	0
7	1	0	0	0	1	1	1	0	0
6	1	0	0	0	1	0	1	0	0
2	1	0	0	0	1	0	0	1	0