Description: Edge detection is a fundamental technique in the field of computer vision used to identify the edges or boundaries of objects within an image. This technique is crucial for image segmentation, as it allows for the distinction between different regions and objects in a scene. Edges are abrupt changes in pixel intensity, indicating the presence of an object or a transition in texture. Edge detection relies on algorithms that analyze the variation in pixel intensity in an image, using methods such as the Sobel operator, Canny edge detector, and Laplacian filter. These algorithms not only help highlight the contours of objects but are also essential for more complex tasks such as pattern recognition and image classification. In the context of automation with artificial intelligence, edge detection is integrated into convolutional neural networks (CNNs), which are deep learning models designed to process visual data. The ability to effectively detect edges enhances the accuracy of computer vision tasks, facilitating applications in various fields, such as robotics, medicine, and security.
