R中的像素图像来自字符数组

Question

我通过将每个输入字符编码为图像中的某种颜色来生成基于像素的图像。例如，在输入txt <- "ABACDAAFFEDDADFAFAED"中，我将'A'绘制为红色像素，将'B'绘制为紫色，将'C'绘制为蓝色，将'D'绘制为其他颜色。我用它来做它。以下是我为此提供帮助的答案 Generate pixel based image in R from character array

现在，我想更新这个以处理案例，我有一个角色连续出现2或3次，我想给它一个不同的颜色。例如txt <- "ABBACDAABBBEDDADCACABBDB"，我想给 A-红色，AA栗色，AAA深红色。 B绿色，BB-粉红色，BBB黄色， C浅棕色，CC棕色，CCC深棕色等。

我仍然希望为每个焦点提供1个像素，但是对于连续的2或3个外观，使用不同的颜色为这些2或3个像素着色。我无法在R中为它编写合理的解决方案。我们的帮助将不胜感激。感谢

Answer 1

我改变了函数以支持多个字符：

library(png)
library(tiff)
library(abind)

# function which plots the image
createImage <- function(txt,charToColorMap,destinationFile,format=c('png','tiff'),debugPlot=FALSE,unused.char='#'){

  if(nchar(unused.char) != 1){
    stop('unused.char must be a single character, and you should be sure that it will never be present in your text')
  }



  # helper function which finds all the divisors of a number
  divisors <- function(x){
    y <- seq_len(x)
    y[ x%%y == 0 ]
  }

  # split the string in charaters
  chars <- strsplit(txt,'')[[1]]

  # find the most "squared" rectangle that contains all the characters without padding
  d <- divisors(length(chars)) 
  y <- d[length(d) %/% 2]
  x <- length(chars) / y

  # create an array with 4 matrices (or planes) one for each RGBA channel
  RGBAmx <- col2rgb(charToColorMap,alpha=TRUE) / 255
  colorIndexes <- match(chars,names(charToColorMap))

  ######################################
  # MULTIPLE CHAR
  ######################################
  # check if color map contains multiple character names
  multiple <- names(charToColorMap)[nchar(names(charToColorMap)) > 1]
  multiple <- multiple[order(nchar(multiple),decreasing=TRUE)]
  txtForMultiple <- txt
  for(m in multiple){
    idxs <- gregexpr(pattern=m,text=txtForMultiple,fixed=TRUE)[[1]]
    charRanges <- unlist(lapply(idxs,seq,length.out=nchar(m)))
    colorIndexes[charRanges] <- which(names(charToColorMap)==m)[1]
    tmp <- strsplit(txtForMultiple,'')[[1]]
    tmp[charRanges] <- unused.char
    txtForMultiple <- paste(tmp,collapse='')
  }
  #########################################################

  colorIndexesR <- matrix(RGBAmx['red',colorIndexes],nrow=y,ncol=x,byrow = TRUE)
  colorIndexesG <- matrix(RGBAmx['green',colorIndexes],nrow=y,ncol=x,byrow = TRUE)
  colorIndexesB <- matrix(RGBAmx['blue',colorIndexes],nrow=y,ncol=x,byrow = TRUE)
  colorIndexesA <- matrix(RGBAmx['alpha',colorIndexes],nrow=y,ncol=x,byrow = TRUE)

  planes <- abind(colorIndexesR,colorIndexesG,colorIndexesB,colorIndexesA,along=3)

  # write the PNG image
  if(format[1] == 'png'){
    writePNG(planes,destinationFile)
  }else if(format[1] == 'tiff'){
    writeTIFF(planes,destinationFile)
  }else{
    stop('usupported format')
  }

  # for debug purpose only we plot the image...
  if(debugPlot){
    mx <- matrix(colorIndexes,nrow=y,ncol=x,byrow = TRUE)
    image(z=t(mx[nrow(mx):1,]),col=charToColorMap)
  }

  invisible()
}

用法示例（'AAA'设置为白色）：

charToColorMap <- c(A='red',B='blue',C='green',D='black',E='yellow',F='orange',AAA='white')

txt <- "ABACAAAFFEDDADFAFAED"
# please note that unused.char will be used to mark the characters of txt already analyzed
# during the multi-char handling, so it must not be present in txt
createImage(txt,charToColorMap,destinationFile = "test.png",debugPlot=TRUE,unused.char='#')

结果（缩放800％）：