The temperature recovering curve derived by cold stimulation experiment reveals human inner metabolism status. The changes of the curve involve many heat-influence factors in which metabolic heat-production is the most important. This paper adopts Tikhonove regularization method to eliminate the measured infrared image data errors and constructs a numerical model based on Independent Component Analysis (ICA) to compute two main heat components heat transfer quantity of blood perfusion and heat-production quantity of metabolism. Different component results are obtained in two typical recovering curves. And the metabolic heat-production quantity comparisons between the diabetic and the healthy show that the metabolic function of the healthy are much better than that of the diabetic numerically. This provides a novel method to estimate the human metabolism quantitatively.