Quantitative histogram analysis of images

Published: 1 November 2006| Version 1 | DOI: 10.17632/k6vpr2ttt4.1
Oliver Holub, Sérgio T. Ferreira


Abstract A routine for histogram analysis of images has been written in the object-oriented, graphical development environment LabVIEW. The program converts an RGB bitmap image into an intensity-linear greyscale image according to selectable conversion coefficients. This greyscale image is subsequently analysed by plots of the intensity histogram and probability distribution of brightness, and by calculation of various parameters, including average brightness, standard deviation, variance, minimal and... Title of program: HAWGC - histogram analysis with grayscale conversion Catalogue Id: ADXG_v1_0 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. Versions of this program held in the CPC repository in Mendeley Data ADXG_v1_0; HAWGC - histogram analysis with grayscale conversion; 10.1016/j.cpc.2006.06.014 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)



Molecular Biology, Physical Chemistry, Molecular Physics, Biological Sciences, Computational Physics