This paper presents a method for automatically finding regions of interest (ROIs) in the infrared image of electrical installation. These regions are very important in diagnosing the thermal condition of electrical equipment. Even the selection of ROIs in the infrared image can be done manually, however the accuracy of the regions is arguably. So we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping look like similar objects in the images. Experimental results have shown that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed and method is qualitative and quantitatively evaluated.ud
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机译：本文提出了一种在电气安装的红外图像中自动查找感兴趣区域（ROI）的方法。这些区域对于诊断电气设备的热状况非常重要。即使红外图像中的ROI的选择也可以手动完成，但是可以说区域的准确性。因此，我们利用提取局部特征的优势来识别，定位和匹配多个重复的对象，并对图像中看起来相似的对象进行分组。实验结果表明，该方法在各种不规则强度变化，目标设备昏暗，背景杂乱的情况下，都能达到较好的目标ROI检测性能。该提议和方法的性能是定性和定量评估的。 ud
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