bwimage (version 1.3)

hole_row: Holes description in row sections

Description

Summary information of holes in a given number of rows (n_sections). n_sections must be set as a number, in this situation hole_row will sample rows, and apply hole_section_data function for each section. Next, all results will be display on hole_columm output. Example of how row sample works: in a matrix of 250x250 if n_sections = 5 , it will sample rows 1,51,101,151, and 201 and analyze it. In other words, the sections will be following sections of the original matrix [1,1:250] , [51,1:250] , [101,1:250] , [151,1:250] , [201,1:250]. The default for parameter n_sections is "all", it will calculate hole_section_data for each row of pixel. In other words, it will break the image in a number of section equal to the image pixel height.

Usage

hole_row(imagematrix, color = 0, n_sections = "all")

Arguments

imagematrix

The matrix to be analysed.

color

Color of the hole (0 or 1).

n_sections

Sample this number of rows.

Value

N

Number of sections.

Mean

Mean sections size.

SD

standard deviations of sections size.

Min

Minimum sections size sections size.

Max

Maximum sections size.

LH

Stratum with largest hole count.

See Also

hole_section_data threshold_color

Examples

# NOT RUN {
# First, get a matrix from your image. Here an example of a bush image is used.
bush<-system.file("extdata/bush.JPG",package ="bwimage")
bush_imagematrix<-threshold_color(bush,  "jpeg",  "proportional", compress_rate = 0.1)

# Information of white (i.e. 0s in matrix) holes in 10 rows uniformly sample among matrix.
hole_row(bush_imagematrix, n_sections=10)

# Information of black (i.e. 1s in matrix) holes in 15 rows uniformly sample among matrix.
hole_row(bush_imagematrix, n_sections=15)
# }