Wavelet Transform Image Stitching
Wavelet transform-based image stitching program implementing seamless vertical, horizontal, and diagonal image alignment using wavelet decomposition principles
MATLAB Image Stitching Implementation with Code Description
A MATLAB-based image stitching program featuring feature extraction, matching algorithms, and seamless blending techniques for educational and practical applications.
SIFT Feature Point Extraction and Matching Implementation
SIFT feature point extraction code with cross-image feature matching capability, suitable for image stitching applications. Includes implementations in both C and MATLAB with detailed algorithmic explanations.
Image Stitching Implementation Using SIFT Algorithm
MATLAB-based SIFT implementation for vertical and horizontal image stitching with feature detection and matching capabilities
Image Registration and Image Stitching
Implementation programs for image registration and image stitching, including sample test images. Useful for researchers studying image alignment techniques and panoramic image composition.
SURF Algorithm Implementation for Feature Point Extraction and Image Stitching in MATLAB
This MATLAB implementation demonstrates SURF (Speeded-Up Robust Features) algorithm for feature point extraction and image stitching. It provides faster feature detection compared to SIFT algorithm, with easier learning curve for beginners. The code includes feature detection, descriptor extraction, and matching techniques.
Image Stitching Implementation Using MATLAB
Implementing image stitching with MATLAB, which involves fusing two or more images with overlapping features to create a seamless panoramic image. This process typically utilizes keypoint detection, feature matching, and image transformation algorithms.
SIFT Algorithm-Based Image Matching Program
An image matching program implemented using the SIFT algorithm, developed in MATLAB, primarily used for image stitching, fusion, and related applications with detailed code implementation insights.
MATLAB Implementation of Image Feature Matching for Panoramic Stitching
MATLAB-based image feature matching implementation essential for image stitching and panoramic generation, utilizing keypoint detection and descriptor algorithms
Image Stitching Utilizing SIFT Feature Matching Algorithm
Automated image stitching overcomes limitations of traditional techniques (such as lighting and scale variations) by implementing SIFT feature matching, RANSAC (Random Sample Consensus) algorithm, and weighted blending algorithms, achieving seamless multi-view image stitching under varying illumination and scale conditions.