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

Binary Fission01:20

Binary Fission

63.0K
Fission is the division of a single entity into two or more parts, which regenerate into separate entities that resemble the original. Organisms in the Archaea and Bacteria domains reproduce using binary fission, in which a parent cell splits into two parts that can each grow to the size of the original parent cell. This asexual method of reproduction produces cells that are all genetically identical.
63.0K
Binary Fission01:26

Binary Fission

2.5K
Binary fission is the primary mode of asexual reproduction in prokaryotes, such as bacteria. It results in the production of two genetically identical daughter cells. This highly efficient process ensures the rapid propagation of bacterial populations under favorable conditions and involves coordinated cellular and molecular events.DNA Replication and SeparationThe process begins with the replication of the bacterial chromosome. The circular DNA molecule unwinds at a specific origin of...
2.5K
Incomplete Dominance01:43

Incomplete Dominance

29.7K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
29.7K
Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

671
Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
671
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

5.1K
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...
5.1K
Classification of Leukocytes01:30

Classification of Leukocytes

5.1K
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...
5.1K

You might also read

Related Articles

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

Sort by
Same author

Direct Observation of Sublattice-Dependent Magnetic Ordering and Strong Electron-Magnon Coupling in Fe_{5}GeTe_{2}.

Physical review letters·2026
Same author

Public Perception of Fluoride: An Infodemiological Analysis of YouTube Videos and Comments.

JDR clinical and translational research·2026
Same author

Comparative efficacy of zanubrutinib plus obinutuzumab versus last prior treatment in relapsed/refractory follicular lymphoma: growth modulation index analysis from the ROSEWOOD study.

ESMO open·2026
Same author

[Endoscopic rubber band ligation and injection therapy for grade I - III internal hemorrhoids: analysis of clinical efficacy and safety].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery·2025
Same author

InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Therapeutic Value of Exclusive and Partial Enteral Nutrition in Adult Patients with Moderate to Severe Crohn's Disease with Ustekinumab for Induction of Remission.

Nigerian journal of clinical practice·2025

Related Experiment Video

Updated: Jan 23, 2026

Assessing Social Dominance in Mouse Models Using the Tube Test
03:34

Assessing Social Dominance in Mouse Models Using the Tube Test

Published on: June 6, 2025

1.3K

Dominant local binary patterns for texture classification.

S Liao1, Max W K Law, Albert C S Chung

  • 1Lo Kwee-Seong Medical Image Analysis Laboratory, Department of Computer Science, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|April 4, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for texture classification using dominant local binary patterns (DLBP) and Gabor filters. The novel features improve accuracy, even with rotated, noisy, or equalized images.

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.0K
Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector
12:08

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

13.2K

Related Experiment Videos

Last Updated: Jan 23, 2026

Assessing Social Dominance in Mouse Models Using the Tube Test
03:34

Assessing Social Dominance in Mouse Models Using the Tube Test

Published on: June 6, 2025

1.3K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

8.0K
Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector
12:08

Generating Transgenic Plants with Single-copy Insertions Using BIBAC-GW Binary Vector

Published on: March 28, 2018

13.2K

Area of Science:

  • Computer Vision
  • Image Processing
  • Machine Learning

Background:

  • Texture classification is crucial for image analysis.
  • Existing methods often struggle with variations like rotation, noise, and histogram equalization.
  • Robust feature extraction remains a key challenge in texture analysis.

Purpose of the Study:

  • To propose a novel feature extraction approach for robust texture classification.
  • To enhance texture classification accuracy under challenging image conditions.
  • To develop features that are invariant to rotation and less sensitive to noise and histogram equalization.

Main Methods:

  • A hybrid feature extraction method combining dominant local binary patterns (DLBP) and Gabor filter responses.
  • DLBP captures dominant patterns for local textural information.
  • Gabor filters provide supplementary global textural context.

Main Results:

  • The proposed features demonstrate high robustness against image rotation, noise, and histogram equalization.
  • Achieved superior classification accuracy compared to six established texture features across multiple databases (Outex, Brodatz, Meastex, CUReT).
  • Consistent high performance observed across diverse texture image databases and varying image conditions.

Conclusions:

  • The novel feature set offers significant improvements in texture classification accuracy and robustness.
  • The combination of DLBP and Gabor features effectively addresses limitations of existing methods.
  • This approach provides a powerful tool for real-world texture analysis applications.