Multi-Focus Images Fusion for Fluorescence Imaging Based on Local Maximum Luminosity and Intensity Variance

. 2024 Jul 29;24(15):4909. doi: 10.3390/s24154909

Algorithm 2 Information filling.

1:
if $| i n d e x_{j 1, k 1} - i n d e x_{j 2, k 2} | > t h r e s h o l d_{3}$ then
2:
for every pixel $p i x_{p j, p k}$ belongs to $B_{j 1, k 1}$ or $B_{j 2, k 2}$ do
3:
The corresponding pixel value in every source image is $v_{i, p j, p k}$
4:
if $p_{p j, p k}$ belongs to $B_{j 1, k 1}$ then
5:
$d = p i x i n d e x_{p j, p k}$ ; $x = i n d e x_{j 2, k 2}$
6:
if $v_{d, p j, p k} < t h r e s h o l d_{4}$ AND $v_{d, p j, p k} < v_{x, p j, p k}$ then
7:
$p i x i n d e x_{p j, p k} = x$
8:
end if
9:
else
10:
$d = p i x i n d e x_{p j, p k}$ ; $x = i n d e x_{j 1, k 1}$
11:
if $v_{d, p j, p k} < t h r e s h o l d_{4}$ AND $v_{d, p j, p k} < v_{x, p j, p k}$ then
12:
$p i x i n d e x_{p j, p k} = x$
13:
end if
14:
end if
15:
end for
16:
end if