Abstract:Owing to the requirements of a high yield and high-quality tomatoes, tomato grading is important—particularly for fruit morphology. Machine vision provides a fast and nondestructive manner to address this demand, and accuracy has become the focus of attention. In this study, the gamma correction method was used for preprocessing to enhance the surface reflection of tomatoes, and Otsu’s method was used to segment the A scalar diagram under the LAB color model. On this basis, two levels of exploration were condu… Show more
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