Title | ||
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Enhancement of dronogram aid to visual interpretation of target objects via intuitionistic fuzzy hesitant sets |
Abstract | ||
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•A novel intuitionistic hesitant fuzzy sets based image enhancement scheme is presented for low illuminated dronogram where the hesitant score is used as a new way to measure image uncertainty.•The proposed method initially separates a dronogram into the foreground/background areas based on a global threshold, and determine the membership functions by intuitionistic hesitant fuzzification approach via hyperbolic operations in membership modification.•Finally, a highly informative and improved dronogram is obtained by defuzzification.•Results of application on a drone database indicate the efficacy of the proposed method. |
Year | DOI | Venue |
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2019 | 10.1016/j.ins.2019.05.069 | Information Sciences |
Keywords | Field | DocType |
Visual enhancement,Drone image,Fuzzy set,Intuitionistic fuzzy set,Hesitant set,Hesitant score. | Defuzzification,Pattern recognition,Fuzzy logic,Visual interpretation,Fuzzy set,Drone,Operator (computer programming),Artificial intelligence,Pixel,Image database,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
500 | 0020-0255 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Biswajit Biswas | 1 | 5 | 4.82 |
Siddhartha Bhattacharyya | 2 | 412 | 53.19 |
Jan Platos | 3 | 286 | 58.72 |
Václav Snasel | 4 | 1261 | 210.53 |