基于生物学的模板匹配框架

Hélio Perroni Filho, A. D. Souza
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引用次数: 1

摘要

多通道模型是对神经元如何在生化水平上工作的一个完整的重新评估。它的结果可以扩展成一个关于视觉、记忆和认知如何在活的大脑中形成的总体理论。本文记录了测试模型有效性的第一次尝试,方法是将其原理应用于图像模板匹配框架的构建,然后使用该框架解决图形用户界面(GUI)自动化问题。结果发现,这样实现的模板匹配应用程序可以始终如一地定位所需的视觉控件,即使模板和匹配因调色板或(在较小程度上)特征比例而不同。文章最后讨论了这些结果的意义和进一步研究的方向。
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A biology-based template-matching framework
The multichannel model is a complete reassessment of how neurons work at the biochemical level. Its results can be extended into an overarching theory of how vision, memory and cognition come to be in the living brain. This article documents a first attempt at testing the model's validity, by applying its principles to the construction of an image template-matching framework, which is then used to solve a Graphical User Interface (GUI) automation problem. It is found that the template-matching application thus implemented can consistently locate required visual controls, even when template and match differ by color palette or (to a slighter degree) feature proportion. The article concludes by discussing the significance of these results and directions for further research.
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