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Edge and Corner Detection

The document discusses edge and corner detection techniques in computer vision, specifically the Canny edge detector and Harris corner detector. It provides instructions for students to implement these algorithms in Python, and compare their results to built-in library functions.

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Laiba Sabir
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82 views1 page

Edge and Corner Detection

The document discusses edge and corner detection techniques in computer vision, specifically the Canny edge detector and Harris corner detector. It provides instructions for students to implement these algorithms in Python, and compare their results to built-in library functions.

Uploaded by

Laiba Sabir
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Computer Vision Assignment 01 BCS-VII


Fatima Jinnah Women University

Edge and Corner Detection


Canny Edge detector
Recall your knowledge of edge detection in images. Canny edge detector is a widely used
detector. You are required to give a detailed review of canny edge detector. Explain the
steps involved from receiving an image to the stage of generating an image with detected
edges.
Your review should include:
a) A brief introduction to Canny Edge detector
b) Main steps involved in edge detection
c) A flow chart to explain the execution flow of these steps
d) Step by step implementation of Canny Edge Detector in Python
e) A sample output in form of images
f) Your comment on performance of your developed algorithm as compared to the
built-in library function

Harris Corner detector


Recall your knowledge of corner detection in images. Harris corner detector is a widely
used detector. You are required to give a detailed review of Harris corner detector. Explain
the steps involved from receiving an image to the stage of generating an image with
detected corners.
Your review should include:
a) A brief introduction to Harris Corner detector
b) Main steps involved in corner detection
c) A flow chart to explain the execution flow of these steps
d) Step by step implementation of Harris Corner Detector in Python
e) A sample output in form of images
f) Your comment on performance of your developed algorithm as compared to the
built-in library function

Instructions:
• Attempt and submit assignment in group of 2 at most. Submit a review report as
mentioned above.
• Each group must give a demo presentation and different sample input images and
respective sample output images.

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