Abstract
In this paper an automated image analysis approach is proposed in order to investigate thoroughly the porosity, a morphological feature specific for hydrogel polymeric systems. The structure and morphology of the porous mixed interpenetrated networks based on poly (N-isopropylacryl amide) and alginate prepared with different mixing ratios and various crosslinking agent concentrations were evidenced by scanning electron microscopy (SEM). Automated characterization of porosity was accomplished using image acquisition, features extraction, and classification over the images acquired. Two different image processing methods were used in order to analyze the size and distribution of the pores within studied hydrogels. One method is based on the Gaussian model and for the second method a new technique is proposed, which uses a J criterion inspired by the JSEG color image segmentation algorithm. The results obtained showed the efficiency of these methods to determine hydrogels porosity in a fast and accurate manner.
Published Version
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