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-- multi-step morphological opening on a binarized image, with increasing structuring element (Se) size:

-- step 1 - 3x3 Se

-- step 2 - 5x5 Se

-- step 3 - 7x7 Se

-- Step n - (2n+1)x (2n+1) Se

-- after each step, a count of the objects (white items) in the opened image has to be performed,

-- and the number of counted items to be saved in a .txt file for easy and fast exporting to excel

require"imlua"

require"imlua_process"

err_msg = {

"No error.",

"Error while opening the file.",

"Error while accessing the file.",

"Invalid or unrecognized file format.",

"Invalid or unsupported data.",

"Invalid or unsupported compression.",

"Insufficient memory",

"Interrupted by the counter",

}

colorspace_str = {

"RGB",

"MAP",

"GRAY",

"BINARY",

"CMYK",

"YCBCR",

"LAB",

"LUV",

"XYZ"

}

num_step = arg[1]

file_name1 = arg[2]

if (not num_step or not file_name1) then

print("Must have the number of steps and a file name as parameters.")

print(" Can have more than one file name as parameters and can use wildcards.")

print(" Usage:")

print(" lua multimorpho.lua num_step filename1 filename2 ...")

return

end

print(">>> Multi-step Morphological Opening <<<")

print("Number of Steps: "..num_step)

print("")

function ProcessImageFile(file_name, num_step)

print("Loading File: "..file_name)

image, err = im.FileImageLoad(file_name);

if (err and err ~= im.ERR_NONE) then

error(err_msg[err+1])

end

if (image:ColorSpace() ~= im.BINARY) then

error("Invalid Image Color Space. Must be a Binary image [Color Space="..colorspace_str[image:ColorSpace()+1].."].")

end

file_name = file_name..".csv"

print("Saving Log File: "..file_name)

log = io.open(file_name, "w")

morph_image = image:Clone()

obj_image = im.ImageCreateBased(image, nil, nil, im.GRAY, im.USHORT)

for step = 1, num_step do

kernel_size = 2*step+1

print(" Binary Morphology Open [Kernel Size="..kernel_size.."x"..kernel_size.."].")

im.ProcessBinMorphOpen(image, morph_image, kernel_size, 1) -- 1 interaction

num_obj = im.AnalyzeFindRegions(morph_image, obj_image, 4, false) -- 4 connected, ignore objects that touch the border

print(" Objects Found: "..num_obj)

log:write(kernel_size..";"..num_obj.."\n")

if (num_obj == 0) then

step = num_step

end

obj_image:Clear()

morph_image:Clear()

end

log:close()

obj_image:Destroy()

morph_image:Destroy()

image:Destroy()

print("Done File.")

print("")

end

file_count = 0

for index,value in ipairs(arg) do

if (index > 1) then

ProcessImageFile(arg[index], num_step)

file_count = file_count + 1

end

end

if (file_count > 1) then

print("Processed "..file_count.." Files.")

end