Intelligent Image Processing Algorithm Of Visual Perception And Its Application

Due to the rapid development of technology,computer vision is widely used in various fields.Among them,saving storage space,video recognition,filtering interference and integrated application are currently important issues.This thesis proposes an omnidirectional video integrated processing application robot based on visual illusion theory.Mathematical models such as data compression coding technology,the technical principles and mechanism models such as image compression coding and fuzzy quantization identification are analyzed in the theory of visual illusion.It is hoped that it can be applied in related fields such as image processing and computer vision.This thesis first introduces the principle of visual image sensing technology and related intelligent optimization and image processing algorithms.For the visual image preprocessing process,the fuzzy feature optimization method is used to realize image feature quantization,and the optimized fuzzy vector compressor is designed to realize image preprocessing optimization to achieve image feature extraction and data compression purposes;then,the Markov fuzzy model is designed as an image intrusion detection application;and the robot's autonomous navigation is simulated through the sensing component technology.Finally,the mathematical model of visual illusion is proposed,and an intelligent algorithm based on omnidirectional image visual perception control is proposed to be integrated into the robot's autonomous navigation.The innovation of the thesis is mainly reflected in:(1)A fuzzy vector compressor with intelligent optimization algorithm is proposed through the viewing distance,and applied in video compression,designed a better algorithm to practice a better compression ratio and maintain better extracted video quality.(2)A monitoring system based on image processing and Markov model is proposed through the viewing probability,which is used for video intrusion detection.It can effectively solve the monitoring system problems such as non-intrusion and poor camera feature extraction.(3)A platform with wireless sensing position function is proposed through the viewing route,which not only ensures the automatic obstacle avoidance function of the robot,but also has the automatic optimization function of the action track,which can calculate a reasonable obstacle avoidance path in a short time.In addition,a mathematical model based on visual illusion is proposed through the viewing angle.In the future,it can be applied to passive robot vision.According to the above innovations,an omnidirectional video ingesting robot control model based on visual illusion theory is also established,which can realize automatic obstacle avoidance of robots.The function avoids complex obstacles in non-linear and irregular travel environments.