clustering_Kmeans: Image segmentation by clustering using the Kmeans method...

In ExpImage: Analysis of Images in Experiments

Image segmentation by clustering using the Kmeans method (Segmentacao de imagens pela clusterização pelo metodo Kmeans).

Description

This function segments images through clustering by the Kmeans method (Esta funcao segmenta imagens por meio da clusterização pelo metodo Kmeans).

Usage

clustering_Kmeans(im,bands="all",ncluster=2,iter.max=10,
          nstart=1,mask=NULL,col="rand",raster=FALSE,seed=NULL,norma=1,plot=TRUE)

Arguments

im	:Image that will be segmented (Imagem que sera segmentada).
bands	:Number indicating the bands that will be used in the segmentation, default and "all" (Numero indicando as bandas que serao utilizadas na segmentacao, default e "all").
ncluster	: Desired number of classes (Numero de classes desejado).
iter.max	: The maximum number of iterations allowed (número maximo de iteracoes permitido).
nstart	: If centers is a number, how many random sets should be chosen?
mask	: Mask obtained by the segmentation process, default=NULL (Mascara obtida pelo processo de segmentacao).
col	: Vector with the desired colors in the segmentation. If it's "rand" it will be random colors (Vetor com as cores desejadas na segmentacao. Se for "rand" serao cores aleatorias).
raster	Caso a imagem seja do tipo TIF pode-se deve-se considerar 'raster=TRUE' (If the image is of type TIF, you can consider 'raster=TRUE')
seed	is an integer vector, containing the random number generator (RNG) state for random number generation in R (E um vetor com numero inteiros para a geração de valores aleatorios)
norma	Number by which pixel values should be divided to vary between 0 and 1 (Numero pelo qual os valores dos pixels deverao ser divididos para variar entre 0 e 1)
plot	: Logical value, if TRUE, the image will be displayed (Valor logico, se for TRUE a imagem sera apresentada).

Value

Returns the segmented image (Retorna a imagem segmentada).

Author(s)

Alcinei Mistico Azevedo (Instituto de ciencias agrarias da UFMG)

See Also

segmentation , segmentation_logit

Examples

#Carregando imagens de exemplo
end=example_image(13)
im=read_image(end,plot=TRUE)
seg1=clustering_Kmeans(im,bands = "all",ncluster = 2,col = c("green","red"))
seg2=clustering_Kmeans(im,bands = c(1,2,3),ncluster = 3,col = c("green","red","blue"))
seg3=clustering_Kmeans(im,bands = c(1,2,3),ncluster = 4,col = "rand")

ExpImage documentation built on May 29, 2024, 11:10 a.m.