Knowledge based adaptive fuzzy strategy for target of interest differentiation

Charles Z. Liu*, Manolya Kavakli-Thorne

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputChapter


This chapter mainly discusses the issue of target of interest recognition based on image. To implement the function, we present a fuzzy knowledge based system for target of interest differentiation with its application in matting enhancement as a showcase. How to use human experience as knowledge to develop an adaptive strategy has been addressed for optimization. A recursive optimization framework is used in the scheme with adaptive fuzzy learning strategy. Considering the uncertainty of data and processing, the proposed scheme successfully applies the expert human knowledge into matting. The uncertainty of data and solution are both taken into account. The measurement involved with the energy and the dimension of the anonymous pixels is introduced into the objective for optimization. The key to the success of enhancement of matting lies in the recursive learning with kernel learning and adaptive fuzzy updating strategy, enabling the solution preserve more desired details while filtering the untrustworthy information. With the consideration of the uncertainties involved with color condition, priori knowledge and solution, tail recursion and uniqueness of optimization guarantee the stability of the matting solution, enabling the proposed scheme robust to various uncertainties in matting. Experiment results are given to demonstrate the effect of the proposed method with the comparison between before and after enhanced matting. The analysis and evaluation are given as well.

Original languageEnglish
Title of host publicationImage Recognition
Subtitle of host publication Progress, Trends and Challenges
PublisherNova Science Publishers Inc
Number of pages31
ISBN (Electronic)9781536172591
ISBN (Print)9781536172584
Publication statusPublished - 12 May 2020

Bibliographical note

Publisher Copyright:
© 2020 by Nova Science Publishers, Inc. All rights reserved.


  • Adaptive learning
  • Enhanced matting
  • Fuzzy knowledge system
  • Recursive optimization


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