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Related Concept Videos

Areas Within Irregular Boundaries01:26

Areas Within Irregular Boundaries

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Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...
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Introduction to Horizontal Curves01:19

Introduction to Horizontal Curves

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Horizontal curves are essential in highway and railroad design, ensuring smooth and safe transitions between straight path segments, or tangents. These curves allow vehicles to maintain speed without abrupt changes, minimizing accidents and improving travel efficiency.A horizontal curve is typically defined by its geometric relationship to two tangents that meet at an intersection point (P.I.), where a simple curve is introduced to connect them. The back tangent refers to the initial tangent...
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Horizontal Curve: Problem Solving01:03

Horizontal Curve: Problem Solving

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A horizontal curve is characterized by its radius, intersection angle, and stationing of key points. In this case, the radius is 400 meters, and the angle of intersection is 30 degrees, with the station of the point of curvature (P.C.) at 0 + 150 meters. The goal is to determine the station values at the point of intersection (P.I.), point of tangency (P.T.), and midpoint of the curve, as well as the length of the long chord.The process begins with calculating the tangent distance (T) and the...
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Design Example: Measuring Distance Between Two Points with Obstructions01:10

Design Example: Measuring Distance Between Two Points with Obstructions

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When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
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Introduction to Vertical Curves01:24

Introduction to Vertical Curves

148
Vertical curves are parabolic transitions that connect different grades on highways and railroads, ensuring a smooth alignment between back and forward tangents. The back tangent represents the initial grade, while the forward tangent defines the subsequent grade. These curves can be symmetrical, with equal tangent lengths, or nonsymmetrical, with varying lengths. The key points defining a vertical curve include the Point of Vertical Intersection (P.V.I.), where the tangents meet; the Point of...
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Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

116
Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
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Threshold Segmentation and Length Measurement Algorithms for Irregular Curves in Complex Backgrounds.

Xusheng Ruan1, Honggui Deng1, Qiguo Xu1

  • 1School of Physics and Electronics, Central South University, Lushan South Road, Changsha 410083, China.

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This study introduces new algorithms for fast and accurate measurement of irregular curve lengths in complex images. The methods improve segmentation and length calculation for applications like neon design rendering.

Keywords:
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Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Geometry

Background:

  • Accurate measurement of irregular curves in complex backgrounds is a significant challenge.
  • Existing methods may lack speed or precision for intricate image data.

Purpose of the Study:

  • To develop novel algorithms for rapid and precise irregular curve length measurement.
  • To address limitations in current image segmentation and curve analysis techniques.

Main Methods:

  • Proposed a quasi-bimodal threshold segmentation (QBTS) algorithm to enhance curve segmentation from complex backgrounds.
  • Developed a single-pixel skeleton length measurement (SPSLM) algorithm utilizing an 8-neighborhood model for precise length calculation.

Main Results:

  • The QBTS algorithm achieves faster and more accurate segmentation of target curves.
  • The SPSLM algorithm provides a more accurate measurement of curve length using novel neighborhood features.
  • Experimental results demonstrate the effectiveness of both algorithms on complex neon design renderings.

Conclusions:

  • The combined QBTS and SPSLM algorithms offer a robust solution for quick and accurate irregular curve measurement.
  • These methods significantly improve performance in segmenting and measuring curves amidst complex background noise.