Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Colors and Magnetism03:02

Colors and Magnetism

14.2K
Color in Coordination Complexes
When atoms or molecules absorb light at the proper frequency, their electrons are excited to higher-energy orbitals. For many main group atoms and molecules, the absorbed photons are in the ultraviolet range of the electromagnetic spectrum, which cannot be detected by the human eye. For coordination compounds, the energy difference between the d orbitals often allows photons in the visible range to be absorbed and emitted, which is seen as colors by the human...
14.2K
Color Vision01:24

Color Vision

1.5K
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
1.5K
Force Classification01:22

Force Classification

2.4K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.4K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

5.3K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
5.3K
Classification of Leukocytes01:30

Classification of Leukocytes

6.0K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
6.0K
Classification of Illness01:17

Classification of Illness

8.8K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

PM<sub>2.5</sub> exposure exacerbates cerebral infarction via HPG axis downregulation and pituitary lipid metabolism dysregulation in mice.

Neurotoxicology·2026
Same author

Long-Tailed and Inter-Class Homogeneity Matters in Multi-Class Weakly Supervised Tissue Segmentation of Histopathology Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

QuPaS: SAM-Based Semi-Supervised Histopathological Image Segmentation With Quantum Force Field Finetuning and Adversarial Estimation.

IEEE transactions on medical imaging·2026
Same author

EEG Emotion Recognition With Uncertainty-Aware Contrastive Learning and Frequency-Aware Self-Attention.

IEEE transactions on cybernetics·2026
Same author

A deprotection-oxidation cascade-regulated dual-responsive near-infrared fluorescent probe for individual and sequential detection of H<sub>2</sub>S/HClO with applications in food safety monitoring.

Analytica chimica acta·2026
Same author

Identification of ACE and HSPB8 as novel drug targets for LUSC treatment and prognosis based on a prognostic model integrating epigenetic regulation and endoplasmic reticulum stress-related genes.

PloS one·2026

Related Experiment Video

Updated: Feb 10, 2026

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
10:57

Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

Published on: February 1, 2022

3.6K

Quaternion-Michelson Descriptor for Color Image Classification.

Rushi Lan, Yicong Zhou

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 9, 2016
    PubMed
    Summary

    This study introduces the quaternion-Michelson descriptor (QMD), a novel method for extracting local features in color image classification. QMD enhances feature extraction by combining Michelson contrast and quaternionic representation, outperforming existing techniques.

    More Related Videos

    An In Vivo Duo-color Method for Imaging Vascular Dynamics Following Contusive Spinal Cord Injury
    09:25

    An In Vivo Duo-color Method for Imaging Vascular Dynamics Following Contusive Spinal Cord Injury

    Published on: December 31, 2017

    9.9K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    23.4K

    Related Experiment Videos

    Last Updated: Feb 10, 2026

    Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis
    10:57

    Real-Time, Two-Color Stimulated Raman Scattering Imaging of Mouse Brain for Tissue Diagnosis

    Published on: February 1, 2022

    3.6K
    An In Vivo Duo-color Method for Imaging Vascular Dynamics Following Contusive Spinal Cord Injury
    09:25

    An In Vivo Duo-color Method for Imaging Vascular Dynamics Following Contusive Spinal Cord Injury

    Published on: December 31, 2017

    9.9K
    Training Synesthetic Letter-color Associations by Reading in Color
    10:27

    Training Synesthetic Letter-color Associations by Reading in Color

    Published on: February 20, 2014

    23.4K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Pattern Recognition

    Background:

    • Traditional local descriptors often struggle with comprehensive color information and inter-channel interactions.
    • Human perception of image content is effectively measured by Michelson contrast.
    • Quaternionic representation (QR) offers a holistic approach to color image data.

    Purpose of the Study:

    • To develop a robust framework for local feature extraction in color image classification.
    • To integrate the perceptual stability of Michelson contrast with the comprehensive color handling of QR.
    • To introduce novel descriptors based on this integrated framework.

    Main Methods:

    • Development of the quaternion-Michelson descriptor (QMD) framework.
    • Derivation of QMD from Michelson contrast law and quaternionic representation of color images.
    • Proposal of two new quaternionic Michelson contrast binary pattern descriptors.

    Main Results:

    • The proposed QMD framework effectively extracts local features for color images.
    • The novel quaternionic Michelson contrast binary pattern descriptors show strong performance.
    • Experimental results demonstrate superior performance compared to state-of-the-art methods on benchmark datasets.

    Conclusions:

    • The quaternion-Michelson descriptor (QMD) framework offers a powerful new approach to color image classification.
    • Integrating Michelson contrast and quaternionic representation yields superior feature descriptors.
    • The proposed method advances the state-of-the-art in local feature extraction for image analysis.