The Influence of Computer Vision Algorithm on Brain Function Network Related To Parkinson’s Disease

With the rapid development of computer technology, various advanced software are constantly updated, making the network more and more complex. Parkinson’s disease is a common disease caused by many factors. These include young age dementia and senile depression. Computer vision technology can be used to effectively and accurately detect and understand the functional characteristics of neurons and other issues. Therefore, this paper studies the brain function network related to Parkinson’s disease and its influence from the computer vision algorithm. The purpose is to apply it to Parkinson’s brain function examination through the analysis of visual technology. This article mainly uses the way of looking up information to understand and study the correlation of computer vision technology and its algorithms. In addition, through the questionnaire survey method, Parkinson’s disease and the application of visual technology in it were explored, and people’s attitudes were obtained. The survey results show that, on average, 24.5% of people pay the most attention to the basal ganglia. It has played an incomparable role in Parkinson’s disease.