A Perimetric Sampling Technique Applied to Biological Images

This paper examines the classification potential of a cyclical sampling approximation applied to binary images of zooplankton. Image pixels are rearranged into a one dimensional sequence by selecting samples in a spiral manner starting from the edge of the image and proceeding toward the center. The properties of this sample sequence are examined by Fourier transform techniques, using images from six major zooplankton categories of varying orientation. The ability of features extracted from spiral sequences to classify zooplankton samples, and their classification accuracy are investigated.