An expert module to recognize injured rat footprint images

Jérôme Benmouffek, Y. Belaïd, A. Belaïd
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Abstract

Many medical research centers need to analyse rat footprint images in order to evaluate some nerve lesions. The authors present a system, called RER, which is able to analyse rat footprint images and detect fingers automatically. This system is composed of a low level that transforms images into structured information and a high level to recognize fingers in the footprint frames. Techniques employed by the high level to select fingers in a set of marks including noise and fingerprints are presented.<>
一个识别受伤老鼠足迹图像的专家模块
许多医学研究中心需要分析老鼠足迹图像来评估一些神经损伤。作者提出了一个名为RER的系统,它能够分析老鼠的足迹图像并自动检测手指。该系统由将图像转换为结构化信息的底层和识别指纹帧中的手指的高层组成。介绍了高水平人员在包括噪声和指纹在内的一组标记中选择手指的技术。
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