Textile pilling is a persistent issue that results in an unattractive surface on garments, impacting their aesthetic and commercial value. This study employs image processing and machine learning ...
This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.
MATLAB focuses on numerical computing, algorithm development, and data analysis for research and engineering tasks. Simulink provides a visual block diagram environment for modeling and simulating ...
Abstract: Image processing improve visual information to be useful in analysis in areas of medical imaging, satellite surveillance, and digital media. In this work, basic pre-processing functions, ...
Nowadays, digital authentication usually takes place via a user account, consisting of user name and password. When a user name is entered, an identity is propagated and the password is used for ...
You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers the definition and computation of 1D and 2D convolution, as ...
MATLAB (short for Matrix Laboratory) is a powerful software tool used for technical computing and visualization. It is widely used in a variety of fields, including engineering, science, finance, and ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In developed countries, the concentration of Cu(II) ions in ...
Our eyes often miss details hidden within an image due to poor lighting, noise, or lack of contrast. However, image processing techniques allow us to extract hidden patterns, detect objects, and ...
Abstract: The paper intends to illustrate the usage and combination of different functions designed in a MATLAB-Simulink based GUI to analyse the Infrared images. It combines the use of filters (low ...
Using the fast marching algorithm, WingGram could detect the pixels located on the boundary of a domain. However, the presence of all these pixels is not required. The higher the number of pixels at ...