Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images

Algorithm 1

Segmentation of anterior chamber and edge detection.

^∗𝐶𝑜𝑛𝑛𝑒𝑐𝑡𝑒𝑑

(1) Find the foreground object (𝐹)

   𝐹=𝑥,𝑦∣𝑔𝑥,𝑦=1,𝑥,𝑦∈[1,𝑀]×[1,𝑁]

(2) Find the lower boundary of foreground object (𝐹_𝑙)

   𝐹_𝑙=𝑥,𝑦∣𝑥,𝑦∈𝐹,(𝑥,𝑣)∉𝐹,∀𝑣>𝑦

(3) Detect the iris tip (𝑃_it)

   𝑃_it𝑥_it,𝑦_it=argmax_(𝑥,𝑦)𝐹_𝑙𝑥,𝑦,𝑥∈[𝑁−𝑏,𝑁],𝑏=100.

(4) Set 𝑔(𝑥,𝑦)=1,𝑥∈[1,𝑀],𝑦∈[𝑦_𝑖𝑡,𝑁]

(5) Find the anterior chamber region (𝑀_AC) by connected component labelling

   𝑀_AC=𝐵₁.

(6) Edge Detection

   𝐸_𝑒=𝑥,𝑦∣𝑥,𝑦∈𝑀_AC,(𝑥,𝑣)∉𝑀_AC,∀𝑣<𝑦,

   𝐸_𝑖=𝑥,𝑦∣𝑥,𝑦∈𝑀_AC,(𝑥,𝑣)∉𝑀_AC,∀𝑣>𝑦.