关于视觉系统从灰色调图象中提取模糊信息特性的研究

关于视觉系统从灰色调图象中提取模糊信息特性的研究 AN APPROACH TO HUMAN VISUAL PERFORMANCE ON EXTRACTION OF FUZZY INFORMATION IN GRAY-TONE IMAGE 朱福元 Zhu Fuyuan first-author 本文用模糊熵来度量灰色调图象灰度辨识中的不确定性,就模糊子集的四种隶属函数计算模糊熵,给出了可用信息含量与灰级数的关系。关于灰色调图象总信息量取决于由Shannon熵、加权熵和模糊熵组成的总熵的概念,也在文中作了讨论。 In this paper, the uncertainty on recognizing gray scale in gray-tone image is measured by the means of fuzzy entropy. Based on the computed data on fuzzy entropies for four membership functions of fuzzy subset, the corresponding relationship of available information content with gray-level number is presented. Herin a novel concept on total information, related to the total entropy in gray-tone image, which consists of Shannon entropy, Weighted entropy and Fuzzy entropy, is discussed. 人类(人工)视觉系统 视觉性能极限 灰色调图象 灰级 模糊熵(信息) 1989-01-01 2021-04-01 1