Simultaneous localization and mapping of medical burn areas based on binocular vision and capsule networks

Abstract

Accurate evaluation of burn degree is a key step in the treatment of burn patients. The body surface area of burn area is the main basis to evaluate the degree of burn. To estimate the burn area timely and accurately is the basis of providing correct infusion volume for patients and determining further treatment measures. Therefore, it is necessary to study a fast and effective method to calculate the area of human body burn. For large-area burn patients, accurate fluid replenishment in shock period plays an important role in the maintenance of vital signs and wound healing, and the estimation of burn body surface area is the basis for calculating fluid replenishment in shock period. As an important branch of computer vision, binocular stereo vision has penetrated into many fields of production and life, which is a hot topic in computer application. Binocular stereo vision technology is based on the theory of parallax, which uses binocular camera to collect the left and right views of the measured objects. The paper proposes the binocular vision uses stereo matching algorithm to calculate the position deviation between two images, so as to obtain the 3D geometric information of the object. Based on this, this paper uses binocular vision technology and capsule network model to build a medical burn area evaluation model. The experimental results show that the method proposed in this paper can effectively locate the burn area and image processing.