Open AccessParity Check of Human Anatomy Multimedia System Based on Irregular Closed Curve Test Algorithm
Author(s) -
Xiaoli Zhang,
Huangqi Zhang,
Li Zhang,
Hui Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/3/032032
Subject(s) - computer science , algorithm , human anatomy , parity (physics) , test (biology) , computer vision , artificial intelligence , anatomy , medicine , biology , paleontology , physics , particle physics
In image processing, especially medical image processing, an accurate determination of the position and shape of tissues and organs is the basis for medical diagnosis, which requires that massive medical staff and medical school students can master the knowledge of human anatomy very well. In this paper, a test algorithm in the irregular closed curve was proposed and applied to the parity check in the multimedia system of medical anatomy images. The experimental results show that the proposed algorithm has an accurate judgment, high execution efficiency, and fast speed.