Stride effect Gaussian filter | Code implementation | Biomedical Image Processing

Gaussian filter is a common filtering technique used in Digital image processing. In this video, you will learn the effect of stride using Gaussian filter in image convolution in Python for machine learning and deep learning applications in Biomedical engineering. Convolution is a fundamental operation used in image processing and computer vision, and it plays a crucial role in modern deep learning architectures such as convolutional neural networks (CNNs). This tutorial will walk you through the step-by-step process of implementing convolution using Python and popular libraries such as NumPy and math .It is carried on images with normalization and padding You will also learn how to apply convolution to a sample image and visualize the results using Matplotlib. By the end of this tutorial, you will have a solid understanding of image convolution , Gaussian filters parameter called stride

Keywords: Python tutorial, Biomedical engineering, image convolution, Image processing using python, Image processing project, DICOM Image processing ,machine learning, deep learning, convolutional neural networks, CNNs, OpenCV, computer vision, image processing, visualize, practical applications.