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

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

563
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
563
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.0K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.0K

You might also read

Related Articles

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

Sort by
Same author

Development and characterization of monoclonal antibodies to spring viraemia of carp virus.

Veterinary immunology and immunopathology·2008
Same author

Electrophysiological characterization of a novel Kv channel blocker N,N'-[oxybis(2,1-ethanediyloxy-2,1-ethanediyl) ]bis(4-methyl)-benzenesulfonamide found in virtual screening.

Acta pharmacologica Sinica·2008
Same author

Cloning and characterization of an rRNA methyltransferase from Sorangium cellulosum.

Biochemical and biophysical research communications·2008
Same author

Reconstruction of anophthalmic orbits and contracted eye sockets with microvascular radial forearm free flaps.

Ophthalmic plastic and reconstructive surgery·2008
Same author

Using low intensity ultrasound to improve the efficiency of biological phosphorus removal.

Ultrasonics sonochemistry·2008
Same author

[Study on the spectrum of the flocculent conformation of polymer ferric sulfate flocculants].

Guang pu xue yu guang pu fen xi = Guang pu·2008
Same journal

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

GoP-based Quality Enhancement on Video Compression.

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

Align then Tensorize: Multi-Level Consistent Anchor Graph Learning for Scalable Multi-View Clustering.

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

Beyond Fidelity: Diverse Image Synthesis via Retrieval-Augmented Diffusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

Related Experiment Video

Updated: Dec 25, 2025

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
06:25

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

Published on: February 23, 2024

1.0K

An Adaptive and Robust Edge Detection Method based on Edge Proportion Statistics.

Yang Liu, Zongwu Xie, Hong Liu

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |March 20, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an adaptive edge detection method for real-time image analysis. The novel approach improves accuracy by classifying images and extracting robust edge segments.

    More Related Videos

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    936
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    43.5K

    Related Experiment Videos

    Last Updated: Dec 25, 2025

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
    06:25

    Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing

    Published on: February 23, 2024

    1.0K
    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    936
    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    43.5K

    Area of Science:

    • Computer Vision
    • Image Analysis
    • Digital Image Processing

    Background:

    • Edge detection is crucial for image analysis and computer vision.
    • Generic thresholds are ineffective due to diverse image content.
    • Real-time applications require robust and adaptive edge detection.

    Purpose of the Study:

    • To present an adaptive, robust, and effective edge detector for real-time applications.
    • To overcome limitations of traditional edge detection methods.
    • To improve edge detection accuracy and efficiency.

    Main Methods:

    • Image classification into three groups based on 2D entropy.
    • Reference percentage values assigned based on edge proportion statistics.
    • Extraction of anchor points with high probability of being edge pixels.
    • Joining anchor points into contiguous, 1-pixel wide edge segments considering segment direction.

    Main Results:

    • The proposed edge detector demonstrates superior performance compared to traditional edge following methods.
    • Achieved higher detection accuracy in experimental results.
    • Generated clean, contiguous edge segments suitable for post-processing.

    Conclusions:

    • The developed edge detector is effective for real-time applications.
    • It offers improved accuracy and robustness over existing methods.
    • The results provide valuable input for subsequent image processing tasks.