- PII
- 10.31857/S0132347424050036-1
- DOI
- 10.31857/S0132347424050036
- Publication type
- Article
- Status
- Published
- Authors
- Volume/ Edition
- Volume / Issue number 5
- Pages
- 31-41
- Abstract
- A new method for estimating the complexity of geometric shapes (spots) is proposed, taking into account the internal structure of the spots, and not only their external contour. The task of calculating the degree of complexity of objects is divided into components: segmentation of spots and estimation of the complexity of isolated spots. The new method has a relatively low computational complexity compared to the alternative methods considered in the work. Using the new method, an algorithm based on parallel computing of the CUDA programming language for graphics accelerators (video cards) was created, which further increases the performance of our method. A qualitative and quantitative analysis of existing (alternative) methods has been carried out, their advantages and disadvantages in comparison with our method and with each other have been revealed. The algorithm implemented on the basis of the new method has been tested on both artificial and real digital images.
- Keywords
- инварианты Hu сложность изображения сжатие изображения контур изображения сегментация изображения выделение контуров классификация изображений статистические моменты изображений вычислительная сложность
- Date of publication
- 17.09.2025
- Year of publication
- 2025
- Number of purchasers
- 0
- Views
- 18
References
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