In this repo advanced vision tools uploaded. Algorithms for edge detection of various filters and scaling.

Welcome to the Advanced Vision Techniques Library! This repository showcases implementations of cutting-edge computer vision techniques, offering tools for image manipulation, edge detection, line detection, filter padding, Harris corner detection, segmentation, and clustering. Features

• Resize, rotate, and transform images using efficient algorithms.
• Adjust brightness, contrast, and apply color filters.

• Implementation of Canny Edge Detection, offering precise identification of object boundaries.
• Sobel and Prewitt operators for gradient-based edge detection.

• Hough Transform to detect lines and geometric shapes effectively.

• Customizable padding techniques for convolutional operations, ensuring boundary integrity.

Algorithm to identify corners and interest points for feature extraction in images.

• Image segmentation tools, including watershed and region-growing algorithms.
• Mask generation and visualization for medical and industrial applications.

• Advanced clustering techniques like k-means, hierarchical clustering, and DBSCAN to group data points in images.

Python 3.6+ Libraries: OpenCV, NumPy, Scikit-learn, Matplotlib