线束是电子设备中广泛使用的接线部件，其质量可以通过测量线束的内径、外径等数据进行分析。本文使用水平集方法分割线束端子显微图像外径和内径轮廓。为处理粘连，首先设置图像的RGB 空间，然后将其转换至Lab 空间，再用水平集方法分割其外径轮廓。分割内径轮廓时，根据线束端子显微情况图像的颜色特点，将其转换至Lab 空间，以增强黄蓝信息之间的差异，使用水平集方法进行分割，后使用数学形态学方法进行处理，得到最终的内径轮廓。实验结果表明，本文方法可以同时获得较好的线束端子显微图像外径和内径轮廓，有利于后续的数据提取和质量检测。

The cable harness is widely used in electronic equipment and wiring component. Its quality can be measured by analyzing the length of wire inside diameter and outside diameter. The level set method is applied to segment the microscopic image of cable harness. To deal with adjoining object, we reset the RGB channels of the image and convert them to Lab space, where the level set method is applied to segment the inner counter. Lab space is selected for inner contour segmentation as it can enhance the difference between blue and yellow color information, which is an essential feature for this kind of microimage. Finally, the binary image is processed by mathematical morphology technique before obtaining the final internal contour. The experimental results show that the proposed method can obtain contours efficiently and make it feasible to the data extraction and quality control.