MATLAB Code Implementation for Image Recognition
An image recognition program developed using MATLAB, featuring computer vision and image processing techniques for object and scene identification.
Image Recognition and Classification Methods
This MATLAB source code implements image recognition and classification methods using deep learning, feel free to download and utilize this valuable resource.
Complete Implementation Process of SIFT Algorithm
A comprehensive MATLAB implementation of the SIFT algorithm for feature point extraction, demonstrating an excellent approach for image recognition applications
MATLAB Code Implementation for Image Recognition
This is an image recognition program that identifies geometric shapes within images by analyzing specific feature points and their properties.
Integral Image HOG Feature Function for MATLAB
Developed a custom MATLAB implementation of integral image-based HOG feature extraction for image recognition applications, providing ready-to-use function calls with optimized computation.
MATLAB Implementation for Image Recognition
A comprehensive MATLAB program for image recognition featuring EP (Expectation Propagation) and EM-EP (Expectation-Maximization combined with EP) algorithms, providing valuable reference for implementation approaches.
MATLAB Implementation of Face Recognition System
Develop a MATLAB-based face recognition system that identifies a given facial image from a dataset using image processing and machine learning algorithms, including feature extraction and classification techniques.
Content-Based Feature Extraction for Image Recognition - Shape Acquisition via K-means Clustering Segmentation
Content-based feature extraction for image recognition - segmenting images using k-means clustering to obtain shape information and other key features
Implementing the SIFT Algorithm for Precise Image Recognition
Implementation of the SIFT algorithm for accurate image recognition with robust resistance against affine transformations including rotation, translation, and scaling attacks
Sparse Coding with Spatial Pyramid Matching
Sparse coding integrated with spatial pyramid matching framework for image retrieval and recognition applications, featuring multi-scale feature extraction and encoding optimization.