Abstract
The purpose of the study is to develop a method for classifying images of hazardous industrial facilities based on the properties of brightness histograms to eliminate the subjective expert assessment when choosing the trajectory for processing images obtained using unmanned aerial vehicles. The paper describes a method for classifying images of hazardous industrial facilities elements to calculate the value of the classification feature as one of the decision-making elements. The results of algorithmization and testing of the software product are presented using the example of metallurgical plant facilities images. The research has been conducted from 2021 to the present, and is at the stage of implementing the results on the customer's platform. To obtain the result, statistical methods and algorithms for processing data arrays were used. The main result of the study is a method for classifying images of hazardous industrial facilities based on the properties of brightness histograms, which is universal and can be applied to images of any objects.
Keywords
images, classification method, brightness histogram, global histogram maxima, choice of processing method
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