基于图像处理的植物叶片属性测量算法OA

Plant leaves are the main organs for photosynthesis and transpiration in plants.The growth environ-ment and health condition of plants are related to the size of their leaves.Plants can be classified based on the char-acteristic attributes of their leaves.In order to calculate the area and circumference of plant leaves,a leaf attribute measurement algorithm based on image processing is proposed.The plant leaf images are preprocessed such as en-hancement and filtering to improve the image quality and reduce the influence of noise.The leaf edge contour and leaf target area are extracted after image segmentation using the maximum between-to-class variance method.To address the issue of hollow points in the target area,morphological operations are used to remove the hollow points and extract the entire area of the leaf.The number of pixels is counted to obtain the leaf area.The perimeter attribute is calculat-ed based on the blade profile and chain code direction code to improve the accuracy of perimeter measurement.The experimental results show that the proposed algorithm can accurately measure the attributes of plant leaves,has high measurement accuracy,and is applicable to different plant species.