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A functionality of Open CV to detect the objects & drawing boundaries around an object or removing some objects from a given image to restore some critical information.

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TalatNaeem/Python-Object-Boundary-Detection-Image-Processing

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Objects-and-Boundry-Detection (DIP)

A functionality of Open CV to detect the objects & drawing boundaries around an object or removing some objects from a given image to restore some critical information. If we want to detect an object in the image or want to remove something least important from the given image we can do with the help of come which I am going to give in thius repository. And with the help of that you will be able to not only detect an object but also draw boundries around them.

Description

This is my assignment of Digital Imgae Processing course which consist of four different questions. Read more about it from the file "report.pdf" here. The detail of all these questions will be as follows:

  • Q1: In this question we are given an image having two white objects with black background and they are having an overlapping area which we have to find in this questions. All the details are written in the report and code with detailed comments also available there in the repository.
  • Q2: In this question we are given an gray scale image of arm and has to find the area which is covered by hand only also find its number of pixels and has to highlight it too.
  • Q3: In this question we are given an rectangle white box with black background and has to detect its boundary and highlight it.
  • Q4 In this question we have horizontal lines with special characters written on it and we have to remove those special characters and find the straight simple horizontal lines.

Screenshots

Q1

Q1


Q1 Answer

Q1 answer


Q2

Q2


Q2 Answer

Q2 answer


Q3

Q3


Q3 Answer

Q3 answer


Q4

Q4


Q4 Answer

Q4 answer


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A functionality of Open CV to detect the objects & drawing boundaries around an object or removing some objects from a given image to restore some critical information.

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