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The application of image processing algorithms to the analysis of SPI images

Sediment Profile Imagery is a pollution monitoring technique that is widely used to evaluate whether the marine sediments provide the suitable habitat for benthic fauna. Currently, the SPI data is interpreted by human operators and as a consequence the results are inherently affected by intra and inter observer variability. SPI Analyser is a novel software environment that has been specially designed to perform quantitative measurements on SPI data. The devised software is a collection of automatic and semi-automatic image processing algorithms that are suitable to identify important features present in SPI images. Semi-automatic techniques have been developed to identify features such the sediment water interface or custom segmentation of various image details including burrows and voids. In addition an automatic technique for identification of the oxidised sediments has been devised. The software environment has a user-friendly mouse-driven visual interface that facilitates easy manipulation of the input data and outputs the results in a format that can be easily accessed or modified at any stage. The developed application has been evaluated on a collection of various SPI images and encouraging results have been achieved.