Group plants segmentation algorithm research based on field maize images
In the field of crop automation observation,the main technology of obtaining corn growing conditions information is image acquisition and processing.In order to obtain the growth conditions and meteorological data of crops,extracting crops accurately from the field scene is a critical step.Many existing algorithms cannot segment the maize in the filed accurately and completely because of the complexity of field corn growth environment and the growth status.In this paper,starting from the basic principle of three primary colors,using color characteristics and statistical methods,the growth characteristics of field maize and its features in the image are analyzed,so as to give an effective threshold segmentation method to obtain accurate and complete corn segmentation results.
万方数据
维普
