Visual scene confusion degree discrimination method and system based on Moran index, and equipment

Abstract

The invention belongs to the field of psychological sand table image analysis, particularly relates to a visual scene chaos degree judgment method and system based on a Moran index, and equipment, and aims to solve the problem that the chaos degree judgment capability in a discretely distributed visual scene is poor due to the fact that whether related objects are close or not in space cannot be described in the prior art. The method comprises the following steps: acquiring sand table work data corresponding to sand table works made by visitors as input data; clustering the sand tools on the psychological sand table according to the coordinates of the sand tools on the psychological sand table in the input data; performing spatial self-correlation calculation on sand tools in different clusters after clustering through a global Moran index; and obtaining the disorder degree of sand tool placement in sand table works made by visitors. The capability of discriminating the confusion degree in the discretely distributed visual scene is improved.

Description

Technical field [0001] The present invention belongs to the field of psychological sandbox image analysis, and specifically, a method, system, and equipment of a visual scene confusion based on Molan index. Background technique [0002] Usually, people think that a scene is visually confusing, mostly because of the disorder between objects between the scenes in the scene. For example, the book is not posted on the bookshelf, and the clothes are not in the wardrobe, but a crowd of public places where people have large traffic, or the human eye see such scenarios is confusing. Then, how to measure the degree of chaos, such as public places with large traffic, existing patents: CN102098491A Monitoring method and apparatus for chaotic scenes, by finding a certain number of quantities, it is possible to have confusion, and then according to The variance of each person's motion vector direction measures the degree of chaos of the scene. The technical solution is feasible when measuring...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the above-mentioned problems in the prior art, that is, in order to solve the problem that the prior art cannot describe whether related objects are similar in space, resulting in poor ability to discriminate the degree of confusion in discretely distributed visual scenes, the present invention proposes a method based on A method for judging the degree of chaos in a visual scene based on the Moran index, the method includes:

Images