Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding

Table 3

The comparison of MDGWO’s efficiency between Otsu and Kapur.

Image		Otsu thresholds					PSNR	Kapur thresholds					PSNR
Cameraman	2	70	144				11.9475	44	106				14.4629
	3	58	119	156			12.9933	44	98	148			19.9337
	4	40	93	139	170		16.0180	39	83	119	156		21.1684
	5	35	81	121	149	174	16.3710	23	58	94	125	159	23.1191
Lena	2	92	151				13.1029	93	163				14.7164
	3	80	126	171			15.7626	70	121	172			17.5144
	4	75	114	145	180		16.4291	43	81	127	171		20.1729
	5	73	109	136	161	189	16.7206	41	73	103	141	178	21.8208
Baboon	2	97	149				12.4396	78	141				16.0302
	3	83	123	160			13.7731	46	103	151			18.6340
	4	70	105	136	167		14.9493	34	75	117	159		20.5198
	5	66	98	125	150	175	16.0012	29	64	100	134	170	22.0929
Butterfly	2	100	152				12.4400	87	150				14.9325
	3	81	118	159			14.2563	62	104	152			18.5539
	4	73	101	129	164		14.6987	49	88	128	168		21.0711
	5	69	95	121	149	177	16.4688	48	80	113	145	180	22.4539
Maize	2	92	168				13.6677	84	165				14.0407
	3	76	128	187			15.2676	59	113	171			16.5853
	4	65	104	150	200		16.7309	45	80	125	187		18.9818
	5	56	86	123	164	208	18.5649	39	74	108	147	198	20.8792
Sea Star	2	85	157				14.8445	81	160				14.8595
	3	69	120	178			17.6040	60	111	172			17.4583
	4	59	99	137	187		19.4039	46	89	131	184		19.4487
	5	51	85	117	150	193	21.4000	47	83	118	150	196	20.9681
Smiling Girl	2	60	123				13.1358	88	145				18.0033
	3	47	100	131			12.8470	44	91	145			19.1148
	4	28	74	111	136		15.6914	24	67	100	145		20.0759
	5	20	63	95	124	158	18. 2260	44	83	115	152	203	21.7937
Surfer	2	92	162				12.5401	52	141				16.4343
	3	71	111	177			16.0569	52	103	168			18.9343
	4	47	81	118	179		20.8786	49	86	131	185		20.7218
	5	46	77	105	143	196	21.6071	24	53	88	126	183	21.8961