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Related Concept Videos

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the other increases, and...
Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
Correlation01:09

Correlation

In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Coefficient of Correlation01:12

Coefficient of Correlation

The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable x and the dependent variable y.
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
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Correlations02:20

Correlations

Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...

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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers
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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

Joint-transform correlation under varying illumination.

M S Alam, M A Karim

    Applied Optics
    |September 11, 2010
    PubMed
    Summary
    This summary is machine-generated.

    The fringe-adjusted joint-transform correlator (FRFJC) offers superior performance over classical and binary joint-transform correlators. This optical pattern recognition technique excels across various target scene illumination levels.

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    Area of Science:

    • Optics and Photonics
    • Information Processing
    • Computer Vision

    Background:

    • Joint-transform correlators (JTCs) are crucial for optical pattern recognition.
    • Illumination variations in target scenes can significantly impact JTC performance.
    • Classical JTCs and binary JTCs have known limitations under varying light conditions.

    Purpose of the Study:

    • To investigate the impact of target scene illumination on JTC performance.
    • To compare the effectiveness of classical, binary, and fringe-adjusted JTCs.
    • To identify the most robust JTC architecture for diverse illumination scenarios.

    Main Methods:

    • Simulations were conducted to evaluate JTC performance.
    • Performance was assessed under varying target scene illumination levels.
    • Key metrics likely included correlation peak intensity, signal-to-noise ratio, and discrimination capability.

    Main Results:

    • The fringe-adjusted joint-transform correlator (FRFJC) demonstrated superior performance.
    • FRFJC outperformed both classical and binary JTCs.
    • This advantage was observed consistently across all tested illumination conditions.

    Conclusions:

    • The FRFJC is a more robust pattern recognition solution for varying illumination.
    • FRFJC offers improved correlation output quality compared to other JTC types.
    • This research highlights FRFJC's suitability for real-world applications with unpredictable lighting.