Multi-index comprehensive evaluation of camouflage based on gray theory

In order to solve the problems of that the camouflage evaluation index is too single and the evaluated results is lack of objectivity, a new comprehensive evaluation method which uses many camouflage evaluation indexes and is based on gray clustering theory is presented. At first, according to the purpose and object of evaluation, this method selects brightness contrast, color features, texture features, edge shape and spot size as the indexes of evaluation system; Secondly, the entropy method is presented in order to solve the weight of each index under the same background; At last, the camouflage effect is comprehensively evaluated by use of grey clustering decision evaluation algorithm. The different camouflage design schemes are experimentally evaluated in the same background. The result shows that the method is an objective and reliable comprehensive camouflage evaluation technology.