Implementing Color-Based Image Retrieval Using MATLAB
Color Feature ExtractionVisual content relies heavily on color distribution, making it a primary metric for identifying similar images. Color histograms represent this distribution by mapping pixel frequencies across specific color channels, such as RGB or HSV. This multidimensional array effectively captures the global color composition withou ...
Posted on Mon, 21 Sep 2026 16:44:35 +0000 by trparky
Invoice Recognition Using Template Matching: A MATLAB Implementation
Invoice Recognition Using Template Matching
Invoice recognition is a critical task in computer vision that extracts key information from invoices for financial management and tax reporting purposes. This article presents a template matching-based approach for invoice recognition, which identifies key fields by comparing invoice images against p ...
Posted on Fri, 18 Sep 2026 16:45:43 +0000 by jjk2
Fourier Transform Spectrum Characteristics in Digital Image Processing
Understanding Fourier Spectrum Properties in Images
While Fourier transforms play a fundamental role in one-dimensional signal processing, they application in image processing presents unique challenges. The primary difference lies in human perception: audio signals often appear chaotic in their raw form, requiring frequency analysis to reveal ...
Posted on Fri, 18 Sep 2026 16:37:54 +0000 by osnewbie2004
3D Filled Line Visualization with Reference Markers in MATLAB
To construct a three-dimensional filled line chart with vertical reference markers, begin by preparing your dataset and rendering parameters. Load the source data and specify the positions where marker lines should intersect the X-axis:
% Load spectral or time-series data
load('experimental_data.mat');
% Assign coordinate variables
xCoord = ma ...
Posted on Thu, 17 Sep 2026 16:17:23 +0000 by vargefaret
Parsing Tektronix .wfm Files in MATLAB
Tektronix oscilloscopes save captured waveforms in a proprietary binary .wfm format. Because this format is not natively supported by standard file I/O functions, custom parser are required to extract raw voltage values and corresponding time vectors. The following implementation provides a robust approach for reading these binary files and con ...
Posted on Thu, 17 Sep 2026 16:17:23 +0000 by mariocesar
DCT-Based Steganography for Grayscale Images with Histogram Analysis
Introduction
Digital steganography involves concealing information with in carrier media such as images. This approach employs Discrete Cosine Transform (DCT) block processing combined with histogram equalization to embed data into grayscale images while maintaining visual quality and robustness.
Methodology
The proposed technique follows these ...
Posted on Sun, 13 Sep 2026 16:22:36 +0000 by Saeven
Dynamic UI Component Generation in App Designer
Programmatic Component CreationWhile the Component Library supports drag-and-drop placement for most UI elements, specific development scenarios require programmatic instantiation. This approach is essential when creating custom interfaces not found in the standard library or when generating elements dynamically based on runtime conditions. To ...
Posted on Thu, 10 Sep 2026 16:55:22 +0000 by Bricktop
Bearing Stiffness Calculation Using MATLAB: Static and Dynamic Models
Static Stiffness Model Based on Hertz Contact Theory
Theoretical Foundation
The static stiffness calculation for bearings relies on Hertz contact theory. The fundamental expression is:
(K=\n 3}{2}ZED^{1.5}(1−\kappa)^{1.5}\cos^3\alpha)
The parameters are defined as follows:
(Z): Number of rolling elements
(E): Elastic modulus
(D): Rolling ...
Posted on Wed, 09 Sep 2026 16:14:38 +0000 by Johnlbuk
Frequency Domain Analysis of Digital Images Using Fourier Transform
Fourier analysis provides a powerful framework for decomposing digital images into their constituent spatial frequency components. This technique enables precise manipulation and interpretation of image structure beyond what is visible in the pixel domain.
Core Concepts
The two-dimensional discrete Fourier transform (2D-DFT) maps an M × N grays ...
Posted on Sat, 05 Sep 2026 16:43:49 +0000 by Jassal
Tensor Completion Using Tucker Decomposition and ADMM in MATLAB
Core Implementation (Supportign Multi-dimensional Tensors)
function [recovered_tensor, core_tensor, factor_matrices] = tucker_admm_completion(noisy_data, mask, rank_dims, max_iterations, penalty_param, tolerance)
% Inputs:
% noisy_data: Tensor with missing entries represented as NaN
% mask: Logical matrix indicating known elements ( ...
Posted on Fri, 04 Sep 2026 16:51:30 +0000 by fantic