Watershed segmentation method has been used in various applications. But many a times, due to its over-segmentation attributes, it underperforms in several tasks where noise is a dominant source. In this study, Optical Coherence Tomography images have been acquired, and segmentation has been performed to analyse the different regions of fluid filled sacs in a lemon. A modified watershed algorithm has been proposed which gives promising results for segmentation of internal lemon structures.

翻译：分水岭分割方法已被用于各种应用场景中。但由于其超分割属性，在噪声是主要来源的多个任务中表现不佳。在本研究中，我们获取了光学相干断层扫描图像，并进行分割以分析柠檬中填充液体的不同区域。我们提出了一种修改后的分水岭算法，其对内部柠檬结构的分割结果十分有希望。