1 files changed, 103 insertions, 0 deletions
diff --git a/html/examples/multimorpho.lua b/html/examples/multimorpho.lua
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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.",
+  "Insuficient 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