Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Colors and Magnetism

Colors and Magnetism

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...

Color Vision

Color Vision

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.

Trial and Error and Algorithm

Trial and Error and Algorithm

A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...

Changes in Skin Color: Clinical Perspectives

Changes in Skin Color: Clinical Perspectives

The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
Albinism is a genetic disorder that affects (completely or partially) the coloring of skin, hair, and eyes. The defect is primarily...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Assessment of Airway, Skin Color, and Use of Accessory Muscles

Assessment of Airway, Skin Color, and Use of Accessory Muscles

A thorough assessment of respiratory health is paramount in clinical settings to identify and manage respiratory distress and ensure adequate oxygenation. This article elaborates on the critical aspects of respiratory evaluation, including airway assessment, skin color examination, and the observation of accessory muscle use, which are integral to effectively diagnosing and managing patients with respiratory conditions.
Introduction
The initial evaluation of a patient's respiratory system...

You might also read

Related Articles

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

Sort by

Same author

Association Between Fetal Exposure to Famine and Anthropometric Measures in Adulthood: A Regression Discontinuity Approach.

Obesity (Silver Spring, Md.)·2020

Same author

Brain MR image segmentation using NAMS in pseudo-color.

Computer assisted surgery (Abingdon, England)·2017

Same author

Joint Sparse Representation and Embedding Propagation Learning: A Framework for Graph-Based Semisupervised Learning.

IEEE transactions on neural networks and learning systems·2017

Same author

Concept Factorization With Adaptive Neighbors for Document Clustering.

IEEE transactions on neural networks and learning systems·2016

Same author

Manifold Adaptive Label Propagation for Face Clustering.

IEEE transactions on cybernetics·2014

Same author

Automated graph regularized projective nonnegative matrix factorization for document clustering.

IEEE transactions on cybernetics·2014

Same journal

The role of digital resources in surgical education: An analysis of YouTube videos on dynamic stabilization.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Behavioral patterns in iGaming across territories: Psychiatric and AI-driven insights via the internet of behavior.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Leveraging personal health records for early heart failure risk prediction through AI-driven modeling.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

From data to prevention: A systematic review of artificial intelligence applications in sports injury prediction.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Leadership styles and work outcome in healthcare sector: Insights from bibliometric analysis.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

Same journal

Network analysis revealing research focus of the German Congress of Orthopedics and Trauma Surgery 2021.

Technology and health care : official journal of the European Society for Engineering and Medicine·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 11, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Color disease leaf image segmentation using NAMS superpixel algorithm.

Hua Li¹, Chuanbo Chen¹, Shengrong Zhao²

¹School of Software Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China.

Technology and Health Care : Official Journal of the European Society for Engineering and Medicine

|April 26, 2018

Summary

This summary is machine-generated.

A new Non-symmetry and Anti-packing Model with Squares (NAMS) superpixel algorithm excels at segmenting leaf disease images. This method accurately preserves lesion regions and reduces data, improving pathological diagnosis.

Keywords:

Disease leaf segmentation NAMS superpixel non-symmetry and anti-packing model pathological diagnosis pathological research

More Related Videos

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Published on: September 20, 2024

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Related Experiment Videos

Last Updated: Feb 11, 2026

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Author Spotlight: High-Throughput In Vivo Leaf Inoculation for Accelerating Disease Resistance Screening in Poplar Hybrid Breeding

Published on: September 20, 2024

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Area of Science:

Computer Vision
Image Processing
Plant Pathology

Background:

Accurate leaf disease segmentation is crucial for understanding disease progression and aiding pathological diagnosis.
Identifying lesion shapes and regions in color images is a key step in plant disease research.

Purpose of the Study:

To introduce a novel superpixel algorithm, the Non-symmetry and Anti-packing Model with Squares (NAMS), for enhanced color image segmentation of leaf diseases.
To improve the efficiency and accuracy of leaf disease image analysis through advanced segmentation techniques.

Main Methods:

The Non-symmetry and Anti-packing Model with Squares (NAMS) model was developed for asymmetric image segmentation, preserving contextual information.
A NAMS-based superpixel algorithm was proposed to cluster pixels into super squares, effectively representing large homogeneous areas and reducing background complexity.

Main Results:

The NAMS superpixel algorithm demonstrated superior performance compared to direct image segmentation and the Simple Linear Iterative Clustering (SLIC) superpixel method.
Results show significant improvements in storage efficiency and precise adherence to lesion region boundaries.

Conclusions:

The NAMS superpixel method serves as an effective preprocessing step for leaf disease region detection.
The algorithm's ability to segment images into superpixel blocks while preserving critical lesion areas makes it valuable for plant pathology research.