#Imagej software script install#
#Imagej software script code#
#Imagej software script series#

This script uses a mirror ball to extract the same information as Find Lights Blind script. The output is a gray-scale image in which brightness correlates to height.ДЇind Lights Ball: In development. The input to this script is the 32-bit float stack produced from the Photometric Stereo plugin.

#Imagej software script code#

This beta script integrates the x-, y- surface gradient images using the Frankot-Chellapa method and was ported from this Matlab code at To use, apply the polynomial fit plugin to the entire stack of images and then run the Find Lights Blind script to the stack of light drop-off maps.Д¬alculated outputs are a lighting direction file that can be then be used with the Photometric Stereo script. An assumption is made that all lights are approximately equidistant from the object to find the azimuthal light orientation. By fitting a linear sheet in the x and y directions of the image via the polynomial fit plugin, a map of how light drops-off across the image is produced and may be used to generate the polar orientation of the light. In this script, we utilize the fact that in most cases non-ideal near lights illuminate the object (e.g., an object is illuminated within a spherical envelope, the radius of which is less than 3 times the largest dimension of the object). If you have a large image it may be better to crop it into sections and then apply to each crop separately.ДЇind Lights Blind: Typically, a mirror ball is used to capture the azimuthal and polar direction of the light source. Outputs are an RGB image showing the surface normal vectors (8-bit) and a stack of the x-, y-, and z-gradient images (32-bit).Д«eware that the script is still being optimized for speed. You will be prompted to upload a text file that contains the lighting directions corresponding to each image in the stack (tab delimited with no header information). In ImageJ, create a stack from the images, convert them from RGB to 32-bit, and then run the script.

#Imagej software script series#

To use, capture a series of raking light images using the same methods described for making an 'RTI image'. It solves a set of linear equations, using the least squares method, to produce a surface normal vector map. Photometric Stereo: This script is the main workhorse tool. Polynomial fit and polynomial shading corrector What do each of the scripts do?

#Imagej software script install#

To make full use of these tools you will also need to install two additional ImageJ plugins: The scripts can be accessed in the plugins dropdown menu.

Launch Fiji or 'refresh menus' if already running. Getting Started with the ScriptsДownload the latest version of Fiji and place the scripts into the plugins folder. We use ImageJ (Fiji) because it has a great user interface, it is open source, and provides access to a powerful set of image processing tools that can be readily adapted for extracting surface gradients using the method of photometric stereo, as implemented here, or many other problems related to computational imaging in cultural heritage. al., 'Photometric stereo by UV-induced fluorescence to detect protrusions on Georgia OвЂ™KeeffeвЂ™s paintings' in Metal Soaps in Art вЂ“ Conservation & Research and on earlier work done with Northwestern's Computational Photo Lab on near lighting models. The scripts were written in Python for use in ImageJ and are based on algorithms detailed in the forthcoming paper: Salvant et. The set of tools described here are routinely used by the Northwestern University / Art Institute of Chicago Center for Scientific Studies in the Arts (NU-ACCESS) to make surface-shape measurements of works of art and specifically painted surfaces.