The tool implements a series of optimized contour and ridge detectors. The filters are steerable and are based on the optimization of a Canny-like criterion. They have a better orientation selectivity than the classical gradient or Hessian-based detectors.
Built-in component of FIJI to calculate the local thickness map of a binary image in 2D or 3D. Local thickness is defined as “The diameter of the largest sphere that fits inside the object and contains the point”
This plugin creates a non-destructive grid of lines, crosses or points on the current image or stack. You can specify the grid type (lines, crosses or points), the area per point (in pixels or physical units), and the color.
This segmentation method performs a N-class thresholding based on a K-Means classification of the image histogram, then extracts objects in a bottom-up manner using user-defined minimum and maximum object sizes. Very useful to detect clustered objects in fluorescence microscopy.
