Steps in Image Segmentation (IMAGE) Max Planck Florida Institute for Neuroscience Caption Once an image is loaded (A), pixels are converted to grayscale floating-point numbers ranging between 0 to 1. Highest probability background is identified using Otsu's method of globally thresholding. The resulting binary image (B) includes only regions of neuronal tissue. The location of each feature vector, as well as the individual values of perimeter distance features, were quantified based on a geodesic distance transform of the binary image of the dendrite (C), using the dendrite backbone as a seed location. Identification of potential spine locations by local maxima along perimeter (D). Credit Max Planck Florida Institute for Neuroscience Usage Restrictions None License Licensed content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.