DOI: 10.14489/vkit.2022.01.pp.047-051

Комкова С. В.
АЛГОРИТМ ИДЕНТИФИКАЦИИ ЭКССУДАТОВ НА ИЗОБРАЖЕНИЯХ СЕТЧАТКИ ГЛАЗА ЧЕЛОВЕКА
(c. 47-51)

Аннотация. Предложен алгоритм, позволяющий обнаруживать области, содержащие экссудаты, с последующим их выделением на снимках глазного дна человека. Работа алгоритма проиллюстрирована на примерах анализа изображений глазного дна.

Ключевые слова:  алгоритм идентификации; сегментация экссудата; удаление диска зрительного нерва.

Komkova S. V.
ALGORITHM FOR THE IDENTIFICATION OF EXUDATES IN IMAGES OF THE HUMAN RETINA
(pp. 47-51)

Abstract. Diabetic retinopathy is a complication of diabetes that affects the human eye. One of the very first signs of the disease is the appearance of a wound (exudate), which occurs due to the presence of changes in the blood vessels. Early detection of exudates will reduce the likelihood of developing blindness in patients with diabetic retinopathy. One of the problems in the process of detecting exudates is that the size of the object is quite small compared to the general image, so the task of detecting them is relevant at the present time. This article proposes an algorithm for identifying exudates in images of the human retina. This algorithm includes three main stages, namely: removal of the optic nerve head, determination of the location of the exudate and segmentation of the exudate. Optical disc removal is performed using the middle circle algorithm. In the step of detecting the location of the exudate, the image will be divided into smaller images and then classified into an exudate area and a non-exudate area based on the brightness threshold. Segmentation of the area of exudate is performed using the method of visibility. The study of the operation of the algorithm was carried out on a sample from the DIARETDB1 database by calculating the values of accuracy, sensitivity and specificity. The average accuracy of the proposed algorithm reached 99,33 %, the sensitivity and specificity of the proposed algorithm was 81,65 % and 99,42 %, respectively, which shows that the proposed method can segment exudate well.

Keywords: Identification algorithm; Segmentation of exudates; Removal of the optic nerve head.