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ObjectContourExtraction .py [v1.5]

How to Run Script - Note Args Format:

$ cd ImageProcessing
--Run This Script as Follows [ObjectExtraction.py] ['FileName.fileExtension']
$ python3 ObjectContourExtraction.py 'Shark 1.PNG'

python 3 [ObjectExtraction.py] ['FileName.fileExtension'] Example: python3 ObjectContourExtraction.py 'Shark 1.PNG'

Design Notes:

  • Processing Techniques Implemented: -Histogram Equalisation: (Contrast Adjustments) -Colour Space Manipulation (BGR->HSV): Using the 'V' - brightness value -Thresholding: Global Binary Thresholding (Not Adaptive Thresh By Design) -Followed by Contouring to identify all the contours in the image and we select the largest contours as our subject.

  • Other Notes: -User input - there is use of ‘cv2.waitKey(0)’ statements to allow user control -The User is in control here, I designed this program to be as ‘hardcode’ independent as possible with sliders for threshold arguments -Tested on Python 3.7.2 - Mac OS Catalina (Not Compatible with Python 2.7)

For Best Object Extraction Results try the following values on the slider screen:

  • From Testing: Shark 1.png works best @ Thresh=97, Equalised= TRUE, Gaussian Blur = 39
  • From Testing: Shark 2.png works best @ Thresh=103, Equalised= TRUE, Gaussian Blur = 38

Temporary Removals from Code

  • Jpeg handling to be re-added (PNG Only at the moment)
  • GUI Image selector w/ easygui would be ideal but removed due to bugs

Known Issues/ Points of Improvement (Non-Exhaustive) :

  • More error handling required around cv2 imreads and imwrites
  • Allow User to choose between largest Contours in image so they can select a smaller object in the photo not just the largest subjects of the photo.