Recognition Algorithms Based on Radial Functions
Аннотация
One of the urgent problems in the field of computer vision is the problem of developing algorithms for recognizing objects represented as images. To solve the problem under consideration, recognition algorithms based on radial functions are proposed. The main idea of the proposed algorithms is to form a set of preferred features that simplify the process of developing an extreme algorithm when recognizing images represented as images. To test the efficiency of the proposed algorithms, the problem of diagnostics of diseases of agricultural crops, in particular cotton, according to the images of their leaves, is solved. The results of the conducted experiments show that the application of the proposed algorithms allows increasing the accuracy in solving the problem of cotton diseases diagnosing on the images of its leaves.