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A Review of Some Local Feature Detection Algorithms
John Zhang, Tao Sun
Pages - 94 - 125     |    Revised - 30-06-2016     |    Published - 31-07-2016
Volume - 10   Issue - 3    |    Publication Date - July 2016  Table of Contents
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KEYWORDS
Edge Detection, Edge Detection Algorithms, Edges in Color Images, Gaussian Filter, Multi-scale Transformation, Morphological Gradient Operators, Fuzzy Logic, Statistical Learning, Algorithm Evaluation.
ABSTRACT
This paper reviews and summarizes the results of some local feature detection algorithms. Due to the large number of publications, this review just covers the publications prior to 2010. Methods are classified by grayscale and color applications. The grayscale methods are further classified into gradient based methods, orientation/spatial analysis based methods, model/template fitting or matching methods, methods based on fuzzy logic, and statistical learning. The evaluation of the performance of the different algorithms is also discussed. This is not a comprehensive review but aims to cover most of the important developments. It can be used as the first step in literature review for new researchers in edge detection.
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Professor John Zhang
Indiana University of Pennsylvania - United States of America
zhang@iup.edu
Mr. Tao Sun
Indiana University of Pennsylvania - United States of America