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Related Concept Videos

Precipitation Processes01:12

Precipitation Processes

6.5K
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
6.5K
Precipitation Titration: Endpoint Detection Methods01:19

Precipitation Titration: Endpoint Detection Methods

6.4K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
6.4K
Precipitate Formation and Particle Size Control01:16

Precipitate Formation and Particle Size Control

7.2K
In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
The obtained precipitate should be either a pure substance of known composition or easily converted to one by a simple process, such as ignition or drying. In addition, the precipitate should be insoluble and easily filterable. In general, filterability...
7.2K
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

5.6K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
5.6K
Types of Coprecipitation01:10

Types of Coprecipitation

7.0K
Coprecipitation is the contamination of a precipitate by otherwise soluble species and occurs via different processes. In colloidal precipitates, coprecipitation occurs via surface adsorption. For instance, barium sulfate has a primary layer of adsorbed barium ions and a secondary layer of nitrate counterions. This results in contamination of the precipitate by barium nitrate.
Sometimes, ions in a crystal lattice can undergo isomorphous replacement by inclusions of similar charge and size. For...
7.0K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

635
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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Related Experiment Video

Updated: Mar 31, 2026

High Throughput Analysis of Liquid Droplet Impacts
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Adherent Raindrop Modeling, Detectionand Removal in Video.

Shaodi You, Robby T Tan, Rei Kawakami

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |October 21, 2015
    PubMed
    Summary

    This study introduces a novel method for detecting and removing raindrops from videos using physics-based models and spatio-temporal derivatives. The technique effectively restores visibility in computer vision applications like intelligent vehicles and surveillance systems.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Physics-based Modeling

    Background:

    • Raindrops on surfaces like windscreens degrade visibility.
    • Accurate raindrop detection and removal are crucial for intelligent vehicles and surveillance systems.

    Purpose of the Study:

    • To develop an automated method for detecting and removing adherent raindrops from video footage.
    • To enhance visibility in computer vision applications affected by raindrops.

    Main Methods:

    • Modeling adherent raindrops using physical laws.
    • Detecting raindrops via spatio-temporal derivatives and motion/intensity analysis.
    • Removing and restoring images by analyzing occlusion (partial/complete) and employing blending functions or video completion techniques.

    Main Results:

    • Demonstrated effectiveness in detecting and removing raindrops from various real-world videos.
    • Successful restoration of scene visibility obscured by raindrops.

    Conclusions:

    • The proposed method offers an effective solution for raindrop removal in video.
    • Significant improvements in visibility for computer vision applications are achievable.