# denseness_column: Denseness in column sections In bwimage: Describe Image Patterns in Natural Structures

## Description

Calculate the denseness (proportion of black pixel in relation to the total number of pixels) for a given number of sections (n_sections). n_sections should be set as a number, in this situation denseness_column will break the original matrix in slices, and apply denseness_total function for each section. For instance, in a matrix of 1000x1000 if n_sections = 10, it will break to 10 sections of 1000x100 and analyze it. In other words, the sections will be the following sections of the original matrix [1:1000, 1:100] ,[ 1:1000,101:200] ,[ 1:1000,201:300] ,[ 1:1000,301:400] ,[ 1:1000,401:500] ,[ 1:1000,501:600] ,[ 1:1000,601:700] ,[ 1:1000,701:800] ,[ 1:1000,801:900] ,[ 1:1000,901:1000]. The default for parameter n_sections is "all", it will calculate denseness for each column of pixel. In other words, it will break the image in a number of section equal to the image pixel width.

## Usage

 `1` ```denseness_column(imagematrix, n_sections = "all") ```

## Arguments

 `imagematrix` The matrix to be analysed. `n_sections` Break the image in this number of columns.

## Value

 `Denseness` Denseness of each column section. `Mean` Mean of column sections denseness. `SD` standard deviations of column sections denseness.

## 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.

 ```1 2 3 4 5 6``` ```# 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) # Calculate vegetation denseness in 20 column sections denseness_column(bush_imagematrix,20) ```