GenImg: Generate black-and-white images

In KoulMde: Koul's Minimum Distance Estimation in Regression and Image Segmentation Problems

Description

Create various images such as circle, rectangle and random dots.

Usage

GenImg(nx, ny, Type = 1, bNoise = FALSE, sig_noise = 0.1)

Arguments

nx	- Width of an image.
ny	- Length of an image.
Type	- Type of an image: 1, 2, and 3 for rectangle, circle, and random dots, respectively.
bNoise	- Option for including noise: TRUE or FALSE.
sig_noise	- Strength of noise: numeric value between 0 and 0.5.

Value

A list of information of a generated image.

• ImgMat - a matrix whose entries are pixel values of a generated image.

• S1 - an n1x2 matrix whose entries denote coordinates of white pixels of the image. n1 denotes the number of the white pixels.

• S2 - an n2x2 matrix whose entries denote coordinates of black pixels of the image. n2 denotes the number of the black pixels.

Examples

######## Generate a 10x10 black-and-white rectangle image with some noise
nx=10
ny=10
Type=1
bNoise=TRUE
sig_noise=0.1
lst = GenImg(nx,ny,Type, bNoise, sig_noise)
ImgMat = lst$ImgMat
image(ImgMat, axes = FALSE, col = grey(seq(0, 1, length = 256)))

KoulMde documentation built on Jan. 13, 2021, 3:01 p.m.