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Edge Detection

Edge detection is a fundamental technique in computer vision and image processing that identifies points in a digital image where brightness changes sharply, representing boundaries between objects or regions. It works by applying mathematical operators to detect discontinuities in pixel intensity, producing an output image highlighting edges. This process is crucial for tasks like object recognition, image segmentation, and feature extraction.

Also known as: Edge Detection Algorithms, Edge Finding, Boundary Detection, Contour Detection, Gradient-Based Detection
🧊Why learn Edge Detection?

Developers should learn edge detection when working on computer vision applications, such as autonomous vehicles, medical imaging, or security systems, where identifying object boundaries is essential. It's particularly useful in preprocessing steps to reduce data complexity before applying more advanced algorithms like machine learning models for classification or tracking.

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