Please help how to translate the pseudocode into matlab code

function FINDLOWERBASELINE(PP, threshold_value)

inside_region = 0 % Boolean value

for i = 1 -> length(PP) do

if PP(i) ≥ threshold_value and inside_region = 0 then % Entering a core zone

inside_region <- 1 % Create new core region

append [i,.] to core_regions % Higher baseline

else if PP(i) ≤ threshold_value and inside_region = 1

inside_region <- 0 % Leaving a core zone

core_regions[length(core_regions)][2] <- i % Lower baseline

end if

end for

if length(core_regions[length(core_regions) – 1]) = 1 then

append length(PP)-1 to core_regions[length(core_regions)-1]

end if

for k = 1 -> length(core_regions) do

add core_regions[k][2]-core_regions[k][1] to size_regions % Length of k-th core zone

end for

Let i_max the index of max(size_regions) % Index of larger core zone

return core_regions[i_max][2] % Lower baseline

end function

I(1∶m, 1∶n) % Text-line image with m lines and n columns

Define we wsmooth values

Local baseline estimation

Let baseline(j) = 0 (j = 1∶n)

for j = 1 -> n do

Iw = I(1∶m, j − we/2∶j + we/2)

PP = projectionprofile(Iw)

hist = histogram(PP)

threshold_value = Otsu_method(hist)

baseline(j) = FINDLOWERBASELINE (PP, threshold_value) % detail on findlowerbaseline function

end for

Baseline smoothing with gaussian filter

Let baseline_smoothed(j) = 0 (j = 1∶n)

Create gaussian_filter of width wsmooth and standard deviation σ=w_smooth/(4√2)

Baseline_smoothed = filter(baseline, gaussian_filter)

Correction

Let Icorr(1:m, 1:n) % Corrected image

baselinemean = 1/n ∑_(i=1)^n▒〖baseline〗_smooth 1 % Mean of local baseline

for j = 1 -> n do

for i = 1 -> m do

if I(i,j) is foreground pixel then

Let Δ = baseline_smoothed(j) − baselinemean % Vertical shift for correction

if 0 < i + Δ < m then

Icorr(i + Δ, j) <- I(i,j)

end if

end if

end for

end for

[Image Analyst]

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Answer 1

[Image Analyst]

Go down one line at a time replacing bad syntax with correct syntax, like

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