Research On The Quality Of Quality Space Quality Of Computer Image Recognition Technology

Urban street space is one of the important part of urban space.The research of street space has continued to evolve with the development of the times.In recent years,research methods of street space have been diversified.The transformation to a more data-based method,the traditional urban design field includes indicators such as material space attributes,psychology,sociology,etc.With the continuous research of the academic community,many metering and evaluation methods besides human sensory officials have been born,and a traditional research is opened.New research path outside.At present,most of the direction of using image recognition technology in street spaces is mostly concentrated in terms of urban image distribution and improvement of the living environment.The core idea of this article is to combine the use of computer technology in the academic community,use classic theory as guidance,and use data analysis to explore Verify the correctness of the traditional theoretical paradigm and the impact of the image elements of image elements in the street space on the image elements of urban street space.Starting from the cognitive model of urban imagery theory,this study divides people’s cognition of the street into roads,building interfaces,openings,traffic environment feelings,social rest places,sky interfaces,and 20 detailed indicators from 7 evaluation dimensions.Analyze the scores of these image elements above,use the means of factor analysis to extract the main components from 27 score variables,and name these factors.On the one hand,in order to obtain a few major influence factors from the perspective of urban imagery cognition,on the other hand,it can also test the correct geometry of the classification system classification system proposed in this article.After that,the extracted image factor and computer identification are used as a linear regression analysis obtained from the objective material attributes of the computer,and the effects of computer recognition elements in the street view images have significant effects on the image factor.Corresponding explanation and speculation.The innovation of this article lies in constructing an evaluation framework based on urban imagery,which enables the joint analysis of street spatial elements and street imagery elements.At the same time,in terms of analytical methods,theoretical perspectives are provided to analyze the degree of influence of different street spatial elements on street image elements,and to study the interpretability of street image factors in images.