altitudinal_profile: Highest black pixel by sections

In bwimage: Describe Image Patterns in Natural Structures

Description

Break the original matrix in a number of section ( n_sections), then find the higher black pixel in each image section.

Usage

altitudinal_profile(imagematrix, n_sections, height_size)

Arguments

imagematrix	The matrix to be analysed.
n_sections	Break the image in this number of columns.
height_size	Real size of image height (in mm, cm, m, etc..).

Value

Mean	Height mean of the highest black pixel in sections.
SD	Standard deviations of the highest black pixel in sections.
Size	Height of the highest black pixel in sections.

Author(s)

Carlos Biagolini-Jr.

References

Zehm et al 2003 Multiparameter analysis of vertical vegetation structure based on digital image processing. Flora-Morphology, Distribution, Functional Ecology of Plants, 198: 142-160.

See Also

threshold_color

Examples

# 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)

# Profile  of  highest black pixels on sections of the bush image matrix
altitudinal_profile(bush_imagematrix,n_sections = 10, height_size=100)
# Conclusions:
# i)  the mean height of the highest black pixel is 45.28 cm.
# ii) standard deviation of highest black height is 21.54.

bwimage documentation built on April 23, 2020, 1:06 a.m.