一种高精度医学红外热像图的实现方法

医学红外热像设备测得的红外数据及转换得到的温度数据难以直接判定其所属的人体区域，常需将其转为图像数据，利用图像处理技术得到感兴趣区域并从区域内温度数据得到生物特征，实现疾病的筛查或诊断。然而，从14位红外数据转换到8位图像数据存在严重的数据精度损失，导致处理性能欠佳。本文提出一种新的热像图表达方法，所得到的彩色热像图含原精度的温度数据信息，且含温度观察窗设定尺度下的彩色增强效果，同时载有温度数据记录和观察窗设定规则，通过对图像数据的逆变换，可以再现原始温度数据，并可改变彩色增强效果。该方法提供的热像图无需额外存取温度数据文件，在不同的红外热像系统间具有通用性，将更符合大数据和人工智能的发展趋势。

Method of High Precision Medical Infrared Thermography

It is difficult to directly distinguish the human body area identified by the infrared data measured by medical infrared thermal imaging equipment from the temperature data obtained by conversion. It is often necessary to convert it into image data and use image processing technology to obtain the region of interest and the biological characteristics from the temperature data in the given area. Accordingly, disease screening or diagnosis can be realized. However, conversion from 14-bit infrared data to 8-bit image data incurs a serious loss of data accuracy, resulting in poor processing performance. In this paper, a new expression method for thermal images is proposed. The obtained color thermal image contains the original precision temperature data information and the color enhancement effect under the setting scale of the temperature observation window. At the same time, it contains the temperature data record and the setting rules of the observation window. Through the inverse transformation of the image data, the original temperature data can be reproduced and the color enhancement effect can be changed. The thermal image provided by this method can be used in different infrared thermal image systems without requiring additional access to temperature data files. This will be more aligned with the development trend of big data and artificial intelligence.