Image recogizition and classification is an interesting and a newly evolving area of data mining. Preprocessing is an initial step in every data mining activity. In this use case, I explore the EBI image library developed by bioconductor and perform a few general steps associated with image processing, that includes exploring the image’s parameters and adjusting image features such as brightness, contrasts, etc.
## Image
## colorMode : Color
## storage.mode : double
## dim : 665 1022 4
## frames.total : 4
## frames.render: 1
##
## imageData(object)[1:5,1:6,1]
## [,1] [,2] [,3] [,4] [,5] [,6]
## [1,] 0.3647059 0 0.09411765 0.07450980 0.10588235 0.06666667
## [2,] 0.2823529 0 0.11372549 0.05490196 0.07058824 0.05882353
## [3,] 0.2274510 0 0.15686275 0.07058824 0.01176471 0.03529412
## [4,] 0.2627451 0 0.14509804 0.09411765 0.07450980 0.09019608
## [5,] 0.2549020 0 0.09803922 0.05490196 0.09019608 0.09411765
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.
## Only the first frame of the image stack is displayed.
## To display all frames use 'all = TRUE'.