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Related Concept Videos

Design Example: Traverse Angle Computations01:25

Design Example: Traverse Angle Computations

Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
Gradient and Del Operator01:14

Gradient and Del Operator

In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the torque exerted...
Unsymmetric Bending - Angle of Neutral Axis01:15

Unsymmetric Bending - Angle of Neutral Axis

Unsymmetrical bending occurs when a structural member is subjected to bending moments in a plane that does not align with the member's principal axes. This scenario typically arises in beams and other structural components when loads are applied at non-ideal angles, introducing complexities in stress analysis.
When a bending moment is applied at an angle θ concerning the vertical axis of a symmetrical member, it can be resolved into components along the member's principal centroidal axes. The...
Adjusting a Traverse01:12

Adjusting a Traverse

In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...

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Related Experiment Video

Updated: May 16, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Segment adaptive gradient angle interpolation.

Christine M Zwart1, David H Frakes

  • 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA. czwart@asu.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 30, 2012
PubMed
Summary
This summary is machine-generated.

A novel edge-directed interpolator approximates image isophotes using straight lines. This image resizing technique achieves state-of-the-art visual quality with reduced computational complexity.

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Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
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Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

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Related Experiment Videos

Last Updated: May 16, 2026

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator (TSPAS)

Published on: July 30, 2020

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Signal Processing

Background:

  • Image interpolation is crucial for resizing digital images.
  • Existing methods often struggle with preserving edge details and exhibit high computational costs.
  • Isophote-based approaches offer potential for improved edge-guided interpolation.

Purpose of the Study:

  • To introduce a new edge-directed interpolator for image resizing.
  • To enhance image quality metrics such as Peak Signal-to-Noise Ratio (PSNR).
  • To reduce the computational complexity of image interpolation.

Main Methods:

  • Utilizing locally defined, straight-line approximations of image isophotes.
  • Employing spatial derivatives of image intensity to determine isophote slopes.
  • Inverting a tridiagonal matrix to calculate slopes, with linear variation between pixels.
  • Performing image resizing via interpolation along approximated isophotes.

Main Results:

  • The proposed method achieves state-of-the-art results in PSNR and other visual quality metrics.
  • The interpolator effectively preserves edge details by following isophote directions.
  • Computational complexity is reduced and directly proportional to the number of pixels.

Conclusions:

  • The new edge-directed interpolator offers a superior balance of image quality and computational efficiency.
  • This method is suitable for arbitrary scaling factors in image resizing applications.
  • The approach provides a significant advancement in digital image processing techniques.