# A method to crop hemispherical images to a field of view

## 2018-09-12

For hemispherical photography of forest canopies, sometimes it’s necessary to crop the circular image to exclude a certain field of view below the zenith angle. This might be because the lens distorts the image too much below a given angle. Additionally, because the calculation for LAI assumes random leaf orientation, an assumption which is often broken, lower angles where leaf orientation has a large effect on the relationship between gap fraction and LAI can be excluded, typically below 60 degrees.

Cropping an image to a given field of view, where the image has been projected onto a flat surface isn’t that easy however.

Here is a function I wrote in R to calculate the number of pixels of the radius of a circle equal to a given number of degrees field of view, given the relationship between lens curvature and sensor size.

``````fov_px <- function(theta, circle_diam_px, focal_length_mm, theta_max){
library(NISTunits)

R <- ((2*focal_length_mm) * sin(rads_theta / 2))

pixels_per_theta <- R * sensor_px_per_mm_flat

print(pixels_per_theta)
}
``````

The first thing the function does is convert the desired degrees field of view to radians. Then it converts the pixel diameter of the circular projected image into a radius. Then it uses an equation for projecting equisolid images onto a flat plane, i.e. the image sensor. This equation gives the number of mm from the centre of the sensor an object will appear on the sensor and therefore the flat image, given the focal length. The next step calculates R for the maximum theta of the lens, in most cases 90 degrees for a full hemispheric image. This maximum R value can be related to the pixel length of the full image to create a value of pixel circle radius per theta degree value.

Here is a diagram which roughly describes the various values used in the function, though the focal length is normally just taken from the given focal length of the lens:

Then, it’s easy enough to take the value given by `fov_px` and plug it into this macro in ImageJ to crop the image to the desired pixel radius:

``````circle_radius = <ADJUST_TO_fov_px()_OUTPUT>

makeOval(