DEVELOPMENT OF METHODS FOR BINARIZATION CORRECTION AND CALCULATION OF FIBER DISTRIBUTION DENSITY IN NONWOVEN MATERIALS USING SURFACE COLOR MAP IN THE CONTEXT OF ANALYSIS OF SAMPLES WITH DIFFERENT SURFACE DENSITY
Abstract
The paper presents a comparative analysis of algorithms for eliminating binarization defects applied to images of fibrous materials. An algorithm for calculating the distribution density of fibers in structures with different surface density from their binary images and its software implementation have been developed. The analysis result of fibrous materials digital images produced using different technologies of lamination and different types of fibers is presented. For the samples under study, the distribution density of the fibers was estimated, and color maps of the surface were constructed for various samples of nonwoven materials according to their images. The developed algorithm for correcting binarization and calculating the distribution density of fibers is highly accurate and can be used to analyze various fibrous materials, including woven, woven, knitted, and others. The received certificate for the computer program confirms the originality and scientific significance of the development. The results of the study can be used to improve the quality of nonwovens production and optimize production processes.
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