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[Licence| Download | New Version Template] adxg_v1_0.tar.gz(14811 Kbytes)
Manuscript Title: Quantitative histogram analysis of images
Authors: Oliver Holub, Sérgio T. Ferreira
Program title: HAWGC - histogram analysis with grayscale conversion
Catalogue identifier: ADXG_v1_0
Distribution format: tar.gz
Journal reference: Comput. Phys. Commun. 175(2006)620
Programming language: LabVIEW 7.0.
Computer: Mobile Intel Pentium III, AMD Duron.
Operating system: WindowsME/2000/XP.
RAM: ~ 16 MB for starting and ~ 160 MB used for loading of an image.
Word size: 32 bits
Keywords: histogram, image, microscopy, statistics.
PACS: 87.15.-v, 87.22.-q, 87.64.-t, 87.64.Ni.
Classification: 3, 16.4.

Nature of problem:
Quantification of image data (e.g., for discrimination of molecular species in gels or fluorescent molecular probes in cell cultures) requires proprietary or complex software packages, which might not include the relevant statistical parameters or make the analysis of multiple images a tedious procedure for the general user.

Solution method:
Tool for conversion of RGB bitmap image into luminance-linear image and extraction of luminance histogram, probability distribution, and statistical parameters (average brightness, standard deviation, variance, minimal and maximal brightness, mode, skewness and kurtosis of histogram and median of probability distribution) with possible selection of region of interest (ROI) and lower and upper threshold levels.

Restrictions:
Does not incorporate application-specific functions (e.g., morphometric analysis).

Running time:
Seconds (depending on image size and processor speed).