This article discusses convolutional filters and edge detection. It explains that filters are mathematical operations applied to images to extract information, enhance features, remove noise, and prepare images for further processing. It introduces different types of filters, including Gaussian, Sobel, Laplacian, Median, and Bilateral filters. The article also provides code examples for implementing Sobel and Laplacian filters, and explains how to set thresholds to remove noise from images. Finally, the article highlights upcoming topics in the computer vision tutorial series and includes links to additional reading materials.

source update: Computer Vision Tutorial Series M2C2 – Towards AI


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