相关实验视频
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Visualizing Visual Adaptation
Published on: April 24, 2017
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SHINE_color: 控制彩色图像的低级别属性
1Ambrose University, 150 Ambrose Circle SW, Calgary, AB T3H 0L5, Canada.
MethodsX
|September 29, 2023
概括
本研究介绍了SHINE_color,这是一个用于精确控制彩色图像属性的MATLAB工具箱. 它有助于视觉感知研究,使低级视觉刺激的详细操纵.
科学领域:
- 视觉感知研究 视觉感知研究
- 计算神经科学是一种神经科学.
- 图像处理 图像处理
背景情况:
- 视觉感知研究需要精确控制低级视觉刺激的特性.
- 不受控制的刺激可以混对自上而下的和自下而上的视觉过程的调查.
- 像SHINE这样的现有工具可以控制灰度图像,但缺乏色彩功能.
研究的目的:
- 调整SHINE工具箱以精确控制彩色图像中的低级别属性.
- 扩展分析静态和动画色彩图像感知能力.
- 为研究人员提供一个强大的视觉感知研究工具.
主要方法:
- 调整SHINE (频谱,直方图和强度规范化和均等化) 工具箱.
- 对彩色图像属性的参数操纵的实施.
- 扩展处理静态和动画色彩丰富的视觉刺激.
主要成果:
- 开发用于MATLAB.的SHINE_color工具箱.
- 启用精确控制频谱,直方图,以及色彩图像的强度正常化/均等化.
- 促进了色彩丰富的视觉刺激中低级别属性的参数操纵.
结论:
- SHINE_color通过提供对彩色刺激的基本控制来增强视觉感知研究.
- 该工具箱支持对自上而下的和自下而上的视觉处理进行更严格的调查.
- 它为研究人员研究图像和动画中颜色感知提供了宝贵的资源.
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