1 files changed, 0 insertions, 103 deletions
diff --git a/test/lua/multimorpho.lua b/test/lua/multimorpho.lua
deleted file mode 100644
index 742d713..0000000
--- a/test/lua/multimorpho.lua
+++ /dev/null
@@ -1,103 +0,0 @@
--- 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