Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells

Table 2 The probability of correct classification and false classification from the FSFT method and the proposed method for the data set shown in Figure 9

	*Probability of correct classification* (P_C) *and false classification* (P _f )
	*FSFT method*		*Proposed technique*
	(P _C )	(P _f )	(P _C )	(P _f )
Image 1	0.5656	0.27	0.6196	0.13
Image 2	0.6187	0.39	0.6778	0.21
Image 3	0.6434	0.19	0.7081	0.15
Image 4	0.6074	0.35	0.7117	0.11
Image 5	0.6197	0.33	0.7786	0.13
Image 6	0.6595	0.29	0.8141	0.17
Image 7	0.7735	0.17	0.8973	0.14
Image 8	0.6855	0.26	0.8464	0.21
Image 9	0.5790	0.38	0.7081	0.17
Image 10	0.7592	0.18	0.8979	0.15
Image 11	0.6009	0.35	0.7441	0.19
Image 12	0.6892	0.26	0.8027	0.21

ISSN: 1475-925X