Developing and Analyzing Boundary Detection Operators Using Probabilistic Models

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📝 Original Info

  • Title: Developing and Analyzing Boundary Detection Operators Using Probabilistic Models
  • ArXiv ID: 1304.3447
  • Date: 2013-04-15
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Most feature detectors such as edge detectors or circle finders are statistical, in the sense that they decide at each point in an image about the presence of a feature, this paper describes the use of Bayesian feature detectors.

💡 Deep Analysis

Deep Dive into Developing and Analyzing Boundary Detection Operators Using Probabilistic Models.

Most feature detectors such as edge detectors or circle finders are statistical, in the sense that they decide at each point in an image about the presence of a feature, this paper describes the use of Bayesian feature detectors.

📄 Full Content

Most feature detectors such as edge detectors or circle finders are statistical, in the sense that they decide at each point in an image about the presence of a feature, this paper describes the use of Bayesian feature detectors.

Reference

This content is AI-processed based on ArXiv data.

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