Design And Implementation Of Optical Image Target Characteristic Analysis System

With the rapid development of imaging detection technology,a variety of images have been more and more widely used in various industries,such as transportation,medical,agriculture,industry,national defense and so on.Due to factors such as the complexity and interference,the image data is diversified and the processing flow is complicated.In the context of increasingly specialized application requirements,efficient target characterization and intuitive display for a large number of optical image data has undoubtedly important theoretical and practical requirements for image analysis and application.This paper follows the general process of image analysis and processing,and tries to construct a general optical image target feature analysis system,and focuses on the design of image target characterization system and its feature extraction and selection.The main work includes the following parts:Firstly,this paper expounds the research status of target characteristics analysis of optical images,and introduces the two key modules of feature extraction and selection in target feature analysis,and introduces the research status and development trends at home and abroad.Secondly,according to the needs of practical application,describing the basic requirements of the target characteristic analysis system.On this basis,the overall design of the target characteristic analysis system is given,and elaborating the workflow and main functions of the system.Thirdly,aiming at target detection,which is one of the key modules of the system,detailed algorithm design and implementation are carried out.Finally,a target feature selection method based on pHash and a method based on recognition ability are proposed.Introducing the principle of the two methods in detail,and realizing the algorithm and the visual display of the interface about the whole system through the OpenCV library and QT.