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Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo

Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence		 Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
SD750 - OBL
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
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Projects
LORNET
Prostate Cancer
Breast Cancer
Radiation Therapy
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University of Waterloo :: Faculty of Engineering :: Systems Design

Research …
Fuzzy Image Processing

Fuzzy image processing is not a unique theory. It is a collection of different fuzzy approaches to image processing. Nevertheless, the following definition can be regraded as an attempt to determine the boundaries:

Fuzzy image processing is the collection of all approaches that understand, represent and process the images, their segments and features as fuzzy sets. The representation and processing depend on the selected fuzzy technique and on the problem to be solved.
(From: Tizhoosh, Fuzzy Image Processing, Springer, 1997)

Fuzzy Image Processing

Fields

  • Theoretical Foundations

  • Fuzzy Filtering

  • Fuzzy Segmentation

  • Type II Image Modeling

Applications

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Fuzzy Edge Detection

The easiest way to extract edges using fuzzy sets is to define a membership function indicating the degree of edginess in each neighbourhood.

Original Image

Fuzzy Edge Detection

Edge detection using a simple membership function (Adapted from: Tizhoosh, Fuzzy Image Processing, © CopyRight Springer,1997)


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