目 录
一、 摘要3
Abstract4
二、前言5
三、色觉异常定量检测方法原理简介7
四、色觉异常定量检测方法总体方案的确定9
1.现有检测方法分析.9
2.检测程序设计原则.10
3.检测过程论证.11
4.检测方法整体设计.12
1、 总体方案12
2、 程序设计方案13
五、色觉异常定量检测程序的主要功能用途20
1 .程序的功能20
2 .程序的使用方法.20
3、实验程序20
4 .注意事项21
六、色觉异常定量检测的精度分析22
七、结束语23
附:参考文献24
摘 要
色觉是不同波长或光谱组成的光作用于视觉系统的一种主观感觉。
正常色觉者具有相同的混合匹配比例,而色觉异常者不能和正常色觉者一样产生相同的混合匹配比例,他们则产生错误的比例。因此我们可以利用这个原理依据这种匹配比例不同的现象来判别一个人的色觉正常与否。
本文讨论的是采用交叉阶梯理论来进行颜色鉴别阈值的定量检测。被测者使用交叉阶梯理论从每一个颜色中心的每一个方向上进行观察检测。
本系统在软件设计上采用Visual C++语言的编程办法,运用模块化的程序设计思想,并且力求使系统的可移植性、可靠性和可扩充性均达到最佳效果。
在整个系统运行于环境下,键盘、鼠标可任意选用,界面使操作者或其他非计算机人员只需通过简单的操作,就可方便快捷地诊断出被测者的视能状况。
本文集中了作者三个月来的工作成果,在徐海松老师的悉心指导下,对色觉异常定量检测方面作出了进一步的了解改进。
Abstract
Color vision is a kind of subjective feeling of vision system that different wavelength or light that spectrum make up act on.
The normal color vision person has the same mixing the proportion of matching, but the color vision unusually person can't produce the same mixing the proportion of matching like normal color vision person, they make the wrong mixing the proportion of matching, so we can make use of this theory to judge whether a person’s vision is normal or not.
What is discussed in the paper is the Quantitative Estimation Color Discrimination Threshold by the psychophysical method of interleaved staircase. Each direction from each color center was observed by observers with the psychophysical method of interleaved staircase.
The system is running under an environment which the keyboard and the mouse can be used freely. By using easy operation, we can get the result of the test fast and conveniently, then make decision of the test person’s visional condition.
On the software designing, the author use the Visual C++ language program theory,
Through utilizing modularization theory, we can do better on the aspect of the transportability, the reliability and the expendability of the program.
This text has concentrated author's working achievement over three months. The Present Estimation for Color Discrimination Threshold has been improved under the concentrated guiding of the teacher Xu Haisong.

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