## Computing mean absolute deviation
imeval(boats, ~ mean(abs(.-median(.))))
##Equivalent to:
mean(abs(boats-median(boats)))
##Two statistics
imeval(boats,mad= ~ mean(abs(.-median(.))),sd= ~ sd(.))
##imeval can precompute certain quantities, like the x or y coord. of each pixel
imeval(boats,~ x) %>% plot
##same as Xc(boats) %>% plot
## Other predefined quantities:
##w is width, h is height
imeval(boats,~ x/w) %>% range
##It defines certain transformed coordinate systems:
##Scaled x,y,z
## xs=x/w
## ys=y/h
##Select upper-left quadrant (returns a pixset)
imeval(boats,~ xs<.5 & ys < .5) %>% plot
##Fade effect
imeval(boats,~ xs*.) %>% plot
## xc and yc are another set of transformed coordinates
## where xc=0,yc=0 is the image center
imeval(boats,~ (abs(xc)/w)*.) %>% plot
##rho, theta: circular coordinates. rho is distance to center (in pix.), theta angle
##Gaussian mask with sd 10 pix.
blank <- imfill(30,30)
imeval(blank,~ dnorm(rho,sd=w/3)) %>% plot(int=FALSE)
imeval(blank,~ theta) %>% plot
##imeval is made for interactive use, meaning it
##accesses the environment it got called from, e.g. this works:
f <- function()
{
im1 <- imfill(3,3,val=1)
im2 <- imfill(3,3,val=3)
imeval(im1,~ .+im2)
}
f()
##imeval accepts lists as well
map_il(1:3, ~ isoblur(boats,.)) %>%
imeval(~ xs*.) %>%
plot
##imeval is useful for defining pixsets:
##here, all central pixels that have value under the median
grayscale(boats) %>%
imeval(~ (. > median(.)) & rho < 150) %>%
plot
##other abbreviations are defined:
##s for imshift, b for isoblur, rot for imrotate.
##e.g.
imeval(boats, ~ .*s(.,3)) %>% plot
#The rank function outputs a vector
grayscale(boats) %>% rank %>% class
#Auto-reshape into an image
grayscale(boats) %>% imdo(~ rank(.)) %>% plot
#Note that the above performs histogram normalisation
#Also works on lists
imsplit(boats,"c") %>% imdo( ~ rank(.)) %>% imappend("c") %>% plot
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