Preliminary determination of the length of the main vein based on image processing

As one of the most important characteristics of leaves, main vein contains many physiological information and internal characteristics of the plants, and the length of the main vein can indirectly reflect the growth of plants. This study used digital image processing technology. Firstly the collected image of leaves was smoothed in HSI space, and then using the threshold segmentation method to divide the main vein. After that, the image of main vein extracted by the method of refinement algorithm and morphological processing. Finally, the length of the main vein was calculated by using the relationship between the image pixels and the actual length, so that the length of the main vein can be preliminarily measured. The test results shown that determination of leaf length using image processing technology, more accurate and efficient than manual measurement. It realized the non-destructive detection of leaf length, which provided technical support for plant research and agricultural management.