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RapidCorrelator™ v1.0 Features and Benefits

• Automated Image Correlation and Analysis – At the click of a button, RapidCorrelator automatically correlates a reference image with a set of deformed images in order to calculate precise measurements of surface deformation, displacement, gradient levels, and strain.
  

• Add Multiple Sets of Images – Multiple sets of reference and correlation (deformed) images may be imported to RapidCorrelator. Up to 20 reference images may be added to a single RapidCorrelator file. For each reference image, the user may add up to 100 correlation images.
  

• Correlate All Images or Selected Images – Correlation may be calculated for all reference images and associated correlation images in the file. Alternatively, the user can narrow the scope and further increase the calculation speed by performing correlation for only a selected range of images.
  

• Wide Range of Image Formats Supported – Surface images of all types (.BMP, .GIF, .JPEG, .PNG) may be imported into RapidCorrelator, including images sourced from a camera, microscope, SEM, and/or AFM (macro to nano-scale). RapidCorrelator supports 8-bit, 16-bit, 24-bit, and 32-bit images.
  

• Efficient Image Storage and Management – RapidCorrelator provides a central media repository, which is used to retrieve, store, and manage images as well as other types of media files (audio, video, etc.). Users can create complex image libraries/galleries that may be browsed and edited.
  

• Flexible Image Navigation/Editing Options – Imported images and frames may be easily browsed and viewed via intuitive navigation bars. Images may be moved around, copied (reused), and deleted temporarily or permanently. RapidCorrelator also provides an image/frame thumbnail view, enabling the user to view multiple images/frames at a glance by quickly scrolling through the thumbnails.
  

• Zoom/Magnification Tool – RapidCorrelator provides a zooming feature, which enables the user to magnify images at various levels up to 800%. This is useful for viewing and working with very small regions of an image.
  

• Multiple Image Viewers – Both reference images and correlation images can be viewed in resizable, palette-style windows that are separate from the main workspace area. This enables the user to simultaneously view multiple images on the screen (for comparison and reference purposes). For example, the user can view the main reference image in a separate window while simultaneously viewing, browsing, and editing the related correlation images, data charts, or applied analysis in the main workspace area.
  

• Special Calibration/Measurement Tool – In order to determine the scale factor for a given set of images, RapidCorrelator provides a customizable ruler tool for determining calibration measurements. The user can specify the measurement unit/type used on the ruler. By specifying reference points on the ruler, the user may define the size of a single unit on the ruler, and the user may also specify the number of pixels that will be present between the two reference points on the ruler.
  

• Customizable Input Parameters – The user may determine the search parameters for the correlation by customizing the subimage size (i.e., the square pixel size of the basic image subset regions on which correlation will be performed), column step, row step, search area, etc.
  

• User-Defined Interpolation Method – The user may choose the method of interpolation (bilinear or bicubic) applied during correlation to achieve optimal sub-pixel accuracy.
  

• Seed Points and Initial Guesses – Prior to correlation, the user may specify seed points or initial guess values in order to narrow the search to a small area and obtain optimal correlation output. These values represent estimated displacement/offset values in terms of the number of pixels in the x and y directions respectively. Seed point values are determined by applying the correlation algorithm, while initial guess values are inputted manually.
  

• Highly Precise Data Values – RapidCorrelator supports up to 9 decimal points of precision. A higher number of decimals translates to more accurate displacement values.
  

• Prefabricated Data Charts – Once the correlation calculations have been performed by the system, the results are presented in prefabricated data charts, which include tables with statistical characteristics of parameters and lists of calculated data points (X/Y axis, U/V displacements, and coefficients).
  

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