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 Experiment Videos

A Water-Area Recognition Approach Based on "Tuned" Texture Mask and Cuckoo Search Algorithm.

Zhongwei Chen1, Kangbo Peng1, Lai Huang2

  • 1State Grid Hunan Electric Power Corporation Economy Institute, Changsha 410003, China.

Computational Intelligence and Neuroscience
|January 11, 2019
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Assessing Readability and DISCERN Quality of Osteoporosis Education Materials Generated by ChatGPT and Deepseek for Diverse Health Literacy Levels: A Cross-Sectional Study.

Health science reports·2026
Same author

Dual-vacancy engineering in self-sacrificial Bi<sub>4</sub>O<sub>5</sub>Br<sub>2</sub>/Bi<sub>13</sub>S<sub>18</sub>I<sub>2</sub> step-scheme heterojunction boosts photothermal photocatalytic removal of hexavalent chromium and tetracycline.

Journal of colloid and interface science·2026
Same author

Nanocarrier-Mediated RNAi: Breaking the dsRNA Delivery Bottleneck in Crop Protection.

Journal of agricultural and food chemistry·2026
Same author

Reconstructing Solvation Chemistry via Cosolvent Regulation for Interfacial Engineering Toward Stable High-Voltage O3-Type Cathodes.

Angewandte Chemie (International ed. in English)·2026
Same author

Toward high-stability quantitative carriers: development of superparamagnetic nanocarriers and a high-sensitivity mixing-frequency narrow-band magnetic particle imaging detection system.

Frontiers in pharmacology·2026
Same author

Causal Links of Type 2 Diabetes and Its Complications With Cortical Modification: A Mendelian Randomization and Mediation Analysis.

Brain and behavior·2026

This study introduces a novel cuckoo search (CS) algorithm for optimizing texture energy extraction. The method enhances water detection accuracy compared to genetic algorithm (GA) and particle swarm optimization (PSO).

Area of Science:

  • Image Analysis and Computer Vision
  • Pattern Recognition
  • Optimization Algorithms

Background:

  • Texture feature extraction is crucial for image analysis, with numerous techniques developed.
  • Texture energy with a mask offers rotation and scale invariance but faces computational challenges and local optima issues during tuning.

Purpose of the Study:

  • To develop an optimized 'Tuned' mask approach for distinguishing water and non-water textures.
  • To improve the efficiency and accuracy of texture feature extraction using a novel optimization algorithm.

Main Methods:

  • Utilized a 'Tuned' mask for texture energy extraction.
  • Employed a newly proposed cuckoo search (CS) algorithm to find the optimal 'Tuned' mask by maximizing texture energy.
  • Compared the CS-optimized method against genetic algorithm (GA), particle swarm optimization (PSO), and gravitational search algorithm (GSA).

Related Experiment Videos

Main Results:

  • The cuckoo search (CS) algorithm successfully optimized the 'Tuned' mask for texture energy extraction.
  • Achieved higher recognition accuracy for water area identification compared to GA, PSO, and GSA optimized methods.
  • Demonstrated superior optimization ability and recognition performance in experimental results.

Conclusions:

  • The proposed cuckoo search (CS) based 'Tuned' mask method is effective for texture feature extraction.
  • The approach accurately identifies water areas and outperforms existing optimization algorithms in both optimization and recognition.
  • This method offers a robust solution for texture analysis in image processing applications.