Abstract

The article presents the results of research on the development of a method for calculating detection probability of noisy objects images by a human. The proposed calculation method are based on the visual system models, which take into account the features of images pre-processing carried out in the human eyes, as well as at the stages of primary and secondary processing performed in the visual cortex of the brain. Currently two approaches for describing these stages of visual image processing are known. They are based on single-channel and multi-channel models, the mathematical description of which is given in the article. Based on theoretical and experimental studies it is shown that a single-channel model is more appropriate for quantitative evaluation of human detection of binary objects images and a multi-channel model is more appropriate for detection of halftone objects images.

中文翻译：

---

一种人类物体图像检测概率的计算方法

摘要

本文介绍了开发一种计算人为噪声物体图像的检测概率的方法的研究成果。所提出的计算方法基于视觉系统模型，该模型考虑了人眼中进行的图像预处理以及在大脑的视觉皮层中进行的初次和二次处理阶段的特征。当前，用于描述视觉图像处理的这些阶段的两种方法是已知的。它们基于单通道和多通道模型，本文对此进行了数学描述。