LOCAL DIFFERENCE THRESHOLD LEARNING IN FILTERING NORMAL WHITE NOISE
نویسندگان
چکیده
The article was aimed at studying the process of learning by local difference threshold when filtering normal white noise. existing algorithms for image processing were analyzed and their advantages disadvantages identified. influence noise on recognition is considered. A method organizing correlator with preprocessing GQP has been developed. dependence average value readings rank CCF (RCCF) GQPs reference current images, representing realizations noise, probability formation zero determined. Two versions algorithm according to described are proposed. technique determining efficiency estimate
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ژورنال
عنوان ژورنال: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie ?rodowiska
سال: 2023
ISSN: ['2083-0157', '2391-6761']
DOI: https://doi.org/10.35784/iapgos.3664