Multilevel Thresholding for Image Segmentation Using Mean Gradient

Table 1

Comparison between the proposed global thresholding and Otsu’s method.

Proposed global thresholding		Otsu global thresholding
	Threshold = 158		Threshold = 143
	PSNR = 56.5838		PSNR = 56.7258
	RMSE = 0.3779		RMSE = 0.3718
	Uniformity = 0.9826		Uniformity = 0.9833
	Threshold = 84		Threshold = 93
	PSNR = 59.2249		PSNR = 58.8194
	RMSE = 0.2788		RMSE = 0.2921
	Uniformity = 0.9576		Uniformity = 0.9560
	Threshold = 78		Threshold = 126
	PSNR = 59.0620		PSNR = 59.2940
	RMSE = 0.2841		RMSE = 0.2766
	Uniformity = 0.9865		Uniformity = 0.9903
	Threshold = 93		Threshold = 127
	PSNR = 57.0245		PSNR = 56.9690
	RMSE = 0.3592		RMSE = 0.3615
	Uniformity = 0.9815		Uniformity = 0.9815