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Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Structural Classification of Joints01:20

Structural Classification of Joints

Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
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Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
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Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Iterative Relative Fuzzy Connectedness for Multiple Objects with Multiple Seeds.

Krzysztof Chris Ciesielski1, Jayaram K Udupa, Punam K Saha

  • 1Department of Mathematics, West Virginia University, Morgantown, WV 26506-6310, USA.

Computer Vision and Image Understanding : CVIU
|September 5, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces iterative relative fuzzy connectedness (IRFC), a new image segmentation theory and algorithm. IRFC enables simultaneous segmentation of multiple objects using multiple seeds, improving upon prior methods.

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Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Imaging

Background:

  • Previous image segmentation methods, like relative fuzzy connectedness (RFC), were limited to two segments (object/background) and single seeds.
  • Existing theories did not address simultaneous segmentation of multiple objects or the use of multiple seeds per segment.

Purpose of the Study:

  • To present a novel theory and algorithm for image segmentation using iterative relative fuzzy connectedness (IRFC).
  • To extend image segmentation capabilities to handle multiple objects and multiple seeds per segment simultaneously.
  • To provide fundamental theoretical advancements in fuzzy connectedness for image analysis.

Main Methods:

  • Developed a new theory for image segmentation based on the strength of connectedness between image elements.
  • Introduced an algorithm utilizing iterative relative fuzzy connectedness (IRFC) for object definition.
  • Extended the concept to allow simultaneous segmentation of an arbitrary number of objects, each indicated by multiple seeds.

Main Results:

  • The first iteration of the IRFC algorithm yields relative fuzzy connectedness (RFC) segmentation.
  • The new IRFC framework allows for multi-object and multi-seed segmentation, solving limitations of previous approaches.
  • Experimental results demonstrate that IRFC often outperforms RFC in multi-object/multi-seed segmentation scenarios.

Conclusions:

  • The proposed IRFC theory and algorithm represent a fundamental advancement in image segmentation.
  • The new framework subsumes previous fuzzy connectedness methods and offers new insights.
  • IRFC provides a more flexible and often superior approach for complex image segmentation tasks compared to RFC.