publication . Preprint . 2017

A Fuzzy Brute Force Matching Method for Binary Image Features

Bostanci, Erkan; Kanwal, Nadia; Bostanci, Betul; Guzel, Mehmet Serdar;
Open Access English
  • Published: 20 Apr 2017
Abstract
Matching of binary image features is an important step in many different computer vision applications. Conventionally, an arbitrary threshold is used to identify a correct match from incorrect matches using Hamming distance which may improve or degrade the matching results for different input images. This is mainly due to the image content which is affected by the scene, lighting and imaging conditions. This paper presents a fuzzy logic based approach for brute force matching of image features to overcome this situation. The method was tested using a well-known image database with known ground truth. The approach is shown to produce a higher number of correct ma...
Subjects
arXiv: Computer Science::Computer Vision and Pattern Recognition
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Computer Science - Computer Vision and Pattern Recognition
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