Limitations and Challenges

While contours are a powerful tool in computer vision, they come with certain limitations and challenges, such as:

Contours can be sensitive to image noise and background clutter.
Handling complex and overlapping shapes can be challenging, requiring advanced algorithms and techniques.
Processing and analyzing contours in real-time applications can be computationally intensive, necessitating efficient algorithms and hardware acceleration.

What Are Contours in Computer Vision?Contour Detection Using OpenCV

In computer vision, a contour is like a digital representation of that outline. It can be described as the series of connected points that define the boundary of an object, separating and/or highlighting it from the background. These points tend to share similar color or intensity values, making them distinct from their surroundings. In this article, we are going to explore more on contours in computer vision.

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