Binary Region Coloring Process
Input a binary image and apply colorization to its binary regions. Replace the imageget() function with imread() in the implementation.
MATLAB Code Implementation for Image Processing
Comprehensive image processing techniques including image inversion, color histogram analysis, image input operations, and preprocessing methods
Breast Cancer Detection with Image Processing
Implementation of breast cancer detection using image difference analysis, where simple input and target images are compared to highlight cancerous regions through pixel-level computations and anomaly detection algorithms.
MATLAB Implementation of Canonical Correlation Analysis (CCA)
MATLAB code for performing Canonical Correlation Analysis between two images, with input parameters: input image 1, input image 2, rows, columns, channel 1, channel 2, and output matrix. The implementation involves preprocessing, feature extraction, and correlation computation using canonical correlation algorithms.
Peak Signal-to-Noise Ratio Calculation for Input Images
Function Purpose: This function calculates the Peak Signal-to-Noise Ratio (PSNR) for input images, implementing standard image quality assessment metrics through mathematical computations and noise analysis algorithms.
Image Stitching Method Implementation Using MATLAB
1. Implementation of image stitching using MATLAB programming environment 2. Code compatibility verified for MATLAB R2009a version 3. Program structure consists of M-file script requiring four input images: r_image1, r_image2, r_image3, r_image4 4. Core functionality: stitches input images into combined output image A using feature detection and transformation algorithms
Fast Fourier Transform (FFT) Implementation on Input Images
MATLAB-based implementation of Fast Fourier Transform for image processing, including algorithmic explanation and spectral analysis applications
Smoke Detection in Images
Input an image for automatic smoke detection - our system will identify smoke regions and highlight them using advanced image processing techniques
MATLAB-Based Fingerprint Recognition System
A MATLAB-based fingerprint recognition system utilizing minutiae point comparison methodology, requiring input images to be 256×256 pixels, 8-bit grayscale values, and 500 DPI fingerprint images.
Projection Method for Lip Extraction Requires Input Images of Specified Face Size
MATLAB-based projection method for lip extraction requires input facial images to be standardized in size