see: Visualize Vectorized Images

In rNMF: Robust Nonnegative Matrix Factorization

Description

The function is a wrapper of image(). It arranges and prints multiple or single images.

Usage

see(X, title = "Image", col = "heat", input = "multi", layout = "auto",
  ...)

Arguments

X	a numeric matrix. X is either a matrix where each column contains the pixels of a vectorized image, or simply the pixel matrix of one single image. The type of X is indicated by the argument 'input'.
title	a charactor string. Title of the graph.
col	a character string. Defult = "heat". What color scheme to use? Currently allows: "heat" for heat color "br" for (blue-cyan-green-yellow-red) palette "grey" for grey scale
input	a charactor string with default = "multi", specifying the type of images in X. Possible options are: "multi" if X contains multiple vectorized square images. "single" if X is the matrix of a single image.
layout	a vector of 2 possible integers or a charactor string "auto" (default). If layout = "auto", multiple images will be arranged in an approximatedly 9 by 16 ratio. If layout = c(a,b), then images will be arranged in a rows and b columns.
...	further arguments to pass to image().

Details

If the input is a matrix of vectorized images (input = "multi", default setting), that is, each column contains pixels of one vectorized image, then see() restores each column into a matrix and show all images in one frame. Current version assumes the images are squared images. If the input is a matrix of one image (input = "single"), see() shows this image. Different color palette can be selected by specify the "col" argument. Build-in color palette includes greyscale, blue-red and heat color.

Examples

## Load a build-in data set Symbols, a 5625 by 30 matrix containing 30 75x75
## images.
data(Symbols)
see(Symbols, title = "Sample images of four symbols")

Example output

rNMF documentation built on May 2, 2019, 12:22 p.m.