Parallelized Fuzzy RBF and FHM based Color Filtering for Real-Time Image Processing

被引：0
|
作者：
Tusor, Balazs [1 ,2 ]
Bukor, Jozsef [2 ]
Varkonyi-Koczy, Annamaria R. [2 ]
机构：
[1] Obuda Univ, Inst Automat, Budapest, Hungary
[2] J Selye Univ, Dept Math & Informat, Komarno, Slovakia
来源：
2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) | 2019年
关键词：
indexing tables; image processing; rule-based classification; color filtering; parallel computing; real-time systems;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Color filtering is an important application of image processing. Real-time access to color-based information that is very advantageous for in a wide range of engineering fields that utilizes applied measurement technologies, like industrial manufacturing, medical science, self-driving cars, robotics, etc. Processing color information, however, especially in large images is typically a very time-consuming procedure, but with the usage of parallel computing it can be significantly accelerated. In this paper, two fuzzy approaches are examined for color filtering and improvements are proposed in order to speed up their operation.
引用
收藏
页码：676 / 681
页数：6
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