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http://dx.doi.org/10.9717/kmms.2022.25.5.670

Dynamic Adaptive Binarization Method Using Fuzzy Trapezoidal Type and Image Stepwise Segmentation  

Lee, Ho Chang (Institute of General Education, Pusan National University)
Publication Information
Journal of Korea Multimedia Society / v.25, no.5, 2022 , pp. 670-675 More about this Journal
Abstract
This study proposes an improved binarization method to improve image recognition rate. The research goal is to minimize the information loss that occurs during the binarization process, and to transform the object of the original image that cannot be determined through the transformation process into an image that can be judged. The proposed method uses a stepwise segmentation method of an image and divides blocks using prime numbers. Also, within one block, a trapezoidal type of fuzzy is applied. The fuzzy trapezoid is binarized by dividing the brightness histogram area into three parts according to the degree of membership. As a result of the experiment, information loss was minimized in general images. In addition, it was found that the converted binarized image expressed the object better than the original image in the special image in which the brightness region was tilted to one side.
Keywords
Step-by-step Split; Trapezoidal Type; Dynamic Binarization; Information Loss; Adaptive Binarization;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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