Скачать или смотреть Implementation of Gaussian Convolution for Edge Detection in Gray scale Images

#OpenCV #finalyearproject #ComputerVision
Ever wondered how images can be smoothed and edges detected at the same time? 🖼️✨
In this demo, we implement Gaussian convolution-based edge detection and show how noise reduction and edge highlighting work in grayscale images.

💡 What you’ll see in this video:

Step-by-step explanation of Gaussian convolution and its role in image processing

Manual calculation of 2D convolution on a 6×6 grayscale image with a Gaussian kernel

Use of zero-padding to preserve image dimensions

Normalization of convolution results for proper grayscale visualization

Side-by-side comparison of the original image, raw convolution matrix, and normalized edge-detected image

🔗 Get the full project documentation, source code, and slides here:
www.capstoneprojectshub.com

Whether you’re a student working on a capstone project or a computer vision enthusiast exploring convolution techniques, this video is for you! Don’t forget to like, comment, and subscribe for more project demos.

#EdgeDetection #ImageProcessing #GaussianFilter #Convolution #ComputerVision #GrayscaleImage #CapstoneProject #finalyearproject #DigitalImageProcessing #NoiseReduction #MatrixOperations