2019 Vol.2 Dec. No.6

• Title: Research on Image Feature Recognition Algorithm Based on Fuzzy Logic Enhancement
• Name: Monica Zeadally
• Company: Macquarie University
• Abstract:

  With the advent of the information age, computer processing technology for images is also gradually being updated. In order to solve the problems of enhanced image details and feature recognition, which is vulnerable to external interference, which leads to insufficient recognition and affects the realization of recognition functions. This paper proposes a fuzzy logic enhanced image feature recognition algorithm. Researches are performed on enhanced image pre-processing, shape feature point matching, auto-correlation detail feature detection, and precise location of feature positions. Finally, the fuzzy relation matrix is used to implement the recognition algorithm to accurately identify image detail features. Experimental results show that the enhanced image detail feature recognition algorithm has higher accuracy and stability.

• Keyword: Fuzzy Logic; Image Enhancement; Recognition Algorithm;
• DOI: 10.12250/jpciams2019060640
• Citation form: Monica Zeadally.Research on Image Feature Recognition Algorithm Based on Fuzzy Logic Enhancement[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 58-64.

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