一种基于AAM的识别方法用于耳朵针点区域
Qingfeng Li1, Yuhan Chen2, Yijie Pang2
1Health Management System Engineering Center, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China.
Biomimetics (Basel, Switzerland)
|July 28, 2023
概括
本研究介绍了一种活跃外观模型 (AAM),用于传统中医 (TCM) 中精确的耳朵针点细分. 这种图像处理方法提高了耳朵针点识别的准确性,用于智能诊断.
科学领域:
- 医疗成像医学成像
- 传统中国医药 传统中国医药
- 计算机视觉 计算机视觉
背景情况:
- 传统中国医学 (TCM) 依靠耳朵针点观察进行诊断和治疗.
- 准确识别众多的,小耳朵针点是传统方法的挑战.
- 图像处理有可能改善TCM耳朵针点诊断和治疗.
研究的目的:
- 开发一种用于耳朵针点细分和识别的自动化方法.
- 通过图像处理提高TCM耳朵针点诊断的准确性和效率.
- 创建一个系统,可以协助或可能取代经验丰富的从业者在耳朵针点识别.
主要方法:
- 基于活跃外观模型 (AAM) 的方法被建议用于耳朵针点细分.
- 该方法利用91个特征点来精确细分耳朵结构.
- 计算机图像处理技术用于耳朵针点分区和识别.
主要成果:
- 该AAM方法精确地细分和识别了包括螺旋体,反螺旋体和耳皮在内的关键耳朵针点.
- 该系统展示了突出特定针点或区域的能力.
- 实验结果证明了该方法在耳朵针点识别中的有效性和准确性.
结论:
- 拟议的基于AAM的方法可以实现精确的计算机辅助细分和耳朵针点的识别.
- 这项技术可以显著提高TCM的智能诊断能力.
- 该方法对标准化和改善耳朵针治疗的实践充满希望.
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