Jove
Visualize
Contact Us

Related Concept Videos

Hybrid Zones02:29

Hybrid Zones

21.8K
Hybrid zones are narrow regions where two closely related species interact, mate, and produce hybrids. Relative to either parent species, hybrids may possess distinct phenotypic or genetic differences that impact their survival and reproductive success. The genetic variances introduced by hybridization influence species diversity and speciation processes within the hybrid zone.
21.8K
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

66.7K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
66.7K
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

48.7K
sp3d and sp3d 2 Hybridization
48.7K
In-situ Hybridization02:31

In-situ Hybridization

10.6K
In situ hybridization (ISH) is a technique used to detect and localize specific DNA or RNA molecules in cells, tissue, or tissue sections using a labeled probe. The technique was first used in 1969 for the investigation of nucleic acids. It is currently an essential tool in scientific research and clinical settings, especially for diagnostic purposes.
Types of probes and labels
A probe is a complementary strand of DNA or RNA that binds to corresponding nucleotide sequences in a cell. Many...
10.6K
Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

527
Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
527
DNA Damage Can Stall the Cell Cycle02:36

DNA Damage Can Stall the Cell Cycle

3.1K
In response to DNA damage, cells can pause the cell cycle to assess and repair the breaks. However, the cell must check the DNA at certain critical stages during the cell cycle. If the cell cycle pauses before DNA replication, the cells will contain twice the amount of DNA. On the other hand, if cells arrest after DNA replication but before mitosis, they will contain four times the normal amount of DNA. With a host of specialized proteins at their disposal,cells must use the right protein at...
3.1K

You might also read

Related Articles

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

Sort by
Same journal

Correction: Jafari et al. Optimization of Pectinase-Assisted Extraction from Date Palm and Development of a Bael-Jujube Ready-to-Drink Beverage: A Two-Stage Approach. <i>Foods</i> 2026, <i>15</i>, 1394.

Foods (Basel, Switzerland)·2026
Same journal

A Review of <i>Canarii Fructus</i> (<i>Canarium album</i>) Polyphenols: From Efficient Extraction to Mechanistic Understanding and Functional Food Development.

Foods (Basel, Switzerland)·2026
Same journal

Preparation of Lake Pigment from Calcium Carbonate and Cyanidin-3-O-Glucoside: Structural Characterization and Formation Mechanism.

Foods (Basel, Switzerland)·2026
Same journal

Social Media Dynamics and Green Consumption-The Mediating Role of Environmental Attitudes and Green Self-Identity-Cross-Country Research.

Foods (Basel, Switzerland)·2026
Same journal

Safety, Tolerability, and Gut Microbiota Impact of Sericin-Derived Oligopeptides (SDOs) from Yellow Silk Cocoons in Healthy Adults: A Randomized, Double-Blind, Placebo-Controlled Trial.

Foods (Basel, Switzerland)·2026
Same journal

Encapsulation Strategies for Natural Bioactives in Clean-Label Meat Preservation: A Review.

Foods (Basel, Switzerland)·2026
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 Video

Updated: Jan 29, 2026

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
10:01

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

Published on: April 23, 2012

18.7K

Corn Kernel Segmentation and Damage Detection Using a Hybrid Watershed-Convex Hull Approach.

Yi Shen1, Wensheng Wang1,2, Xuanyu Luo1

  • 1College of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China.

Foods (Basel, Switzerland)
|January 28, 2026
PubMed
Summary

A new hybrid computer vision method, W&C-SVM, accurately segments corn kernels and detects damage using minimal data. This approach offers a cost-effective solution for quality control in food processing and breeding.

Keywords:
damage detectionfood quality controlimage segmentationsticky corn kernelwatershed and convex hull-SVM classification

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.5K
Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
05:22

Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

4.3K

Related Experiment Videos

Last Updated: Jan 29, 2026

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays
10:01

Quantification of Fungal Colonization, Sporogenesis, and Production of Mycotoxins Using Kernel Bioassays

Published on: April 23, 2012

18.7K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.5K
Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support
05:22

Transverse Sectioning of Mature Rice Oryza sativa L. Kernels for Scanning Electron Microscopy Imaging Using Pipette Tips as Immobilization Support

Published on: January 25, 2022

4.3K

Area of Science:

  • Agricultural Engineering
  • Computer Vision
  • Machine Learning

Background:

  • Accurate corn kernel segmentation and damage detection are vital for food processing quality control.
  • Traditional methods like watershed algorithms face over-segmentation issues, while deep learning requires extensive annotated data, posing practical challenges for industry.

Purpose of the Study:

  • To develop a hybrid computer vision method (W&C-SVM) for efficient corn kernel segmentation and damage detection.
  • To address the limitations of existing methods by proposing a solution that requires minimal annotated data.

Main Methods:

  • Integration of an improved watershed algorithm (Sobel gradient and Euclidean distance transform) for segmentation.
  • Incorporation of convex hull defect detection for identifying kernel damage.
  • Utilizing a Support Vector Machine (SVM) classifier trained on a small dataset (50 images).

Main Results:

  • W&C-SVM achieved 94.3% accuracy in damage detection on an independent test set.
  • Significantly outperformed traditional watershed SVM (74.6%), GrabCut (84.5%), and U-Net (85.7%) trained on the same limited data.
  • Effectively separated adhered kernels and identified mechanical damage.

Conclusions:

  • W&C-SVM provides a robust, low-cost solution for corn kernel quality control with minimal sample requirements.
  • The method is well-suited for small-to-medium food enterprises and breeding laboratories seeking efficient kernel selection.
  • This hybrid approach overcomes the data limitations often encountered in industrial computer vision applications.