# denseness_row: Denseness in row 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_row 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 100x1000 and analyze it. In other words, the sections will be the following sections of the original matrix [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, 1:1000] .The default for parameter n_sections is "all", it will calculate denseness 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

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

## Arguments

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

## Value

 `Denseness` Denseness of each row section. `Mean` Mean of row sections denseness. `SD` standard deviations of row 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 row sections denseness_row(bush_imagematrix, n_sections = 20) ```