A new edge detection method based on global evaluation using fuzzy clustering

This publication has 24 references indexed in Scilit:

• Classifying image analysis techniques from their output
  International Journal of Computational Intelligence Systems, 2016
• Fuzzy image segmentation based upon hierarchical clustering
  Knowledge-Based Systems, 2015
• A Divide-and-Link algorithm for hierarchical clustering in networks
  Information Sciences, 2015
• Multi-Surface and Multi-Field Co-Segmentation of 3-D Retinal Optical Coherence Tomography
  IEEE Transactions on Medical Imaging, 2014
• Interval-valued fuzzy sets constructed from matrices: Application to edge detection
  Fuzzy Sets and Systems, 2009
• Benchmarking Image Segmentation Algorithms
  International Journal of Computer Vision, 2009
• Gaussian-based edge-detection methods-a survey
  IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2002
• A geometric approach to edge detection
  IEEE Transactions on Fuzzy Systems, 1998
• An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis
  Pattern Recognition Letters, 1995
• A Computational Approach to Edge Detection
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 1986