Image Stitching using Harris and RANSAC

Image Stitching using Watersheds and Graph Cuts

Image stitching is commonly used in many different applications. One such application could be creating panoramas or high resolution images. To create seamless images is often very computationally demanding. On the other hand, the technological evolution of the latest years has created a customer demand for these algorithms to be used in handheld devices, such as cameras and cell phones. The me...

Automatic image registration framework for Remote Sensing Data using Harris Corner Detection and Random Sample Consensus (RANSAC) Model

Image registration is a fundamental image processing task to match and align physically two images which could have been imaged by different sensors, view angles or and at different times. It is necessary to have robust single frame image registration software especially an automated one. Automatic image registration framework overlays two images for geometric conformity aligning common feature...

Image Alignment and Stitching

Stitching multiple images together to create beautiful highresolution panoramas is one of the most popular consumer applications of image registration and blending. In this chapter, I review the motion models (geometric transformations) that underlie panoramic image stitching, discuss direct intensity-based and feature-based registration algorithms, and present global and local alignment techni...

Automatic Panoramic Image Stitching Using Invariant Features

3D ultrasound volume stitching using phase symmetry and harris corner detection for orthopaedic applications

Stitching of volumes obtained from three dimensional (3D) ultrasound (US) scanners improves visualization of anatomy in many clinical applications. Fast but accurate volume registration remains the key challenge in this area.We propose a volume stitching method based on efficient registration of 3D US volumes obtained from a tracked US probe. Since the volumes, after adjusting for probe motion,...