def processThreshold(self):
# Clearing right canvas before processing image
self.canvasRight.delete("all")
processValue = self.thresholdEntry.get()
# Testing if entry in threshold entry box is digit
try:
if processValue.isdigit():
if 0 <= int(processValue) <= 255:
self.filePath.config(text=self.file_chosen)
# Testing image type
if self.typeOfImage == "Greyscale Image":
# Binarising image and giving output for display to binaryOutput variable.
self.binaryOutput = GreyScaleImage().binariseImage(
self._imagedata, self.thresholdEntry.get())
# Passing binaryOutput variable to BinaryImage class to determine each pixel colour
self._processedData = BinaryImage(
).determinePixelValue(self.binaryOutput)
# Passing binaryImageDisplay variable to display function in order to display on right canvas
self._display(self.canvasRight, self._processedData)
elif self.typeOfImage == "Colour Image":
self.binaryOutput = ColourImage().binariseImage(
self._imagedata, self.thresholdEntry.get())
self._processedData = BinaryImage(
).determinePixelValue(self.binaryOutput)
self._display(self.canvasRight, self._processedData)
else:
self.filePath.config(
text="Please input digits between 0 and 255.")
else:
# Returning error message to user on label if entry box does not contain only digits
self.filePath.config(text="Please input digits.")
except AttributeError:
self.filePath.config(text="Please open image before processing.")
def _openFile(self):
try:
values = []
filename = askopenfilename(initialdir="/",
title="Select file",
filetypes=(("Text files", "*.txt"),
("All files", "*.*")))
self.file_label.config(text=filename)
# Open appropriate text file as object for reading and transform into Python-ready list
with open(filename, "r") as inFile:
linesList = inFile.readlines() # a container of lines
# Create a list containing just the values from the file container
for eachLine in linesList[1:]:
itemsLine = eachLine.split(
",") # separates each item in a line
for each_item in itemsLine:
values.append(
int(each_item)
) # file items need to be converted to integer
# Ensure the values, passed through subclass, become an image data object
if linesList[0].strip() == "Greyscale Image":
self._imagedata = GreyScaleImage(values)
elif linesList[0].strip() == "Colour Image":
self._imagedata = ColourImage(values)
# Call dataForDisplay and getThreshold methods on imagedata object
# Display object and suggested transformation value
self._display(self.canvasLeft, self._imagedata.dataForDisplay())
self.threshValue.set(self._imagedata.getThreshold())
except ValueError:
showerror(
"Invalid input",
"Please load comma delimited document of the correct file type."
)
except:
showerror("Ooops", "Something wasn't right! Please bear with us.")
def openFile(self):
# Open the file dialog to select an image file
self.file_chosen = askopenfilename()
self._imagedata = []
self.typeOfImage = ""
self.meanIntensity = []
# Handling output when 'Cancel' is selected in open file dialog
if not self.file_chosen:
self.filePath.config(text="Please select a file")
self.canvasLeft.delete("all")
self.canvasRight.delete("all")
self.thresholdEntry.delete(0, 'end')
self.thresholdEntry.insert(0, "0")
# Statement to run once open file dialog has finished
if self.file_chosen[-4:] == ".txt":
try:
with open(self.file_chosen) as input_file:
fline = input_file.readline()
self.typeOfImage = fline.strip()
for line in input_file:
self._imagedata.append(line.split())
input_file.close()
except Exception:
self.filePath.config(
text=
"Unknown file type was selected. Please select txt image.")
try:
if self.typeOfImage == "Greyscale Image":
# Updating label to display file location
self.filePath.config(text=self.file_chosen)
# Testing if first line is either Greyscale or colour image
# Clearing canvas before displaying image
self.canvasLeft.delete("all")
self.canvasRight.delete("all")
# Accessing and passing file location to _openGreyScaleImage
self.vals = GreyScaleImage().dataForDisplay(self._imagedata)
# passing vals to display image on left canvas
self._display(self.canvasLeft, self.vals)
# Extracting intensity values from each sublist and adding to threshold list
for i in self._imagedata:
for index in range(2, len(i), 3):
self.meanIntensity.append(i[index])
# Converting threshold list elements to ints
self.meanIntensity = list(map(int, self.meanIntensity))
# Getting average threshold across image and adding value to greyThreshold variable
self.greyThreshold = GreyScaleImage().getThreshold(
self.meanIntensity)
# Clearing the threshold entry box
self.thresholdEntry.delete(0, 'end')
# Inserting the system selected threshold into entry box
self.thresholdEntry.insert(0, str(self.greyThreshold))
elif self.typeOfImage == "Colour Image":
self.filePath.config(text=self.file_chosen)
# Clearing both left and right canvas before displaying image
self.canvasLeft.delete("all")
self.canvasRight.delete("all")
self.vals = ColourImage().dataForDisplay(self._imagedata)
self._display(self.canvasLeft, self.vals)
# Stripping commas from sublist
self._imagedata = [[x.strip(",") for x in group]
for group in self._imagedata]
# Converting all elements in sublist to ints
self.meanIntensity = [[int(x) for x in group[2:]]
for group in self._imagedata]
# Getting mean of each sublist
self.meanIntensity = [
int(sum(x) // len(x)) for x in self.meanIntensity
]
self.colourThreshold = ColourImage().getThreshold(
self.meanIntensity)
# Clearing the threshold entry box
self.thresholdEntry.delete(0, 'end')
# Inserting the system selected threshold into entry box
self.thresholdEntry.insert(0, str(self.colourThreshold))
else:
self.filePath.config(
text=
"Unknown file type was selected. Please select txt image.")
except ValueError:
self.filePath.config(text="Unable to read data in file.")
except Exception:
self.filePath.config(
text="Unknown file type was selected. Please select txt image."
)