Correlation Model of Computer-Aided Assessment based on Heat Map Image Segmentation Algorithm

Abstract

An infrared nondestructive testing method based on genetic algorithm and time series infrared heat map weighted superposition is proposed. The study took 16 types of hole defects in the aluminum plate as the object, collected the time series infrared heat map of the preheating specimen and the cooling process, and obtained the corresponding time series grayscale map. Ninety-four patients with neuropathy and dysphagia were randomly divided into the study group and the control group, each with 47 cases. For example, the control group was treated with drugs. Acupuncture and exercise rehabilitation. The study group was combined with electrical stimulation therapy on the basis of the treatment plan of the control group. A matrix heat map was added to display the data details; interactive methods such as data selection, Sun Map and multi-view linkage of the matrix heat map were used to realize the visual analysis of the correlation level data.