Research On Garlic Planter Based On The Edge Feature Discrimination Of Target Image

Image edge is considered to be the most important information in all the image information,and image edge feature discrimination can deepen the understanding of image edge information.With the continually improvement of the image recognition technology,the image recognition technology is widely used in many fields.Our country is an agricultural country,but the traditional way of planting needs a lot of manpower and financial resources,and its working efficiency is low,which will cause the inevitable trend to realize the mechanization and intelligentialize of agricultural seeding method.Therefore,it is important for the intelligent research of seeding device to complete the research combined with the discrimination of the target image feature information.The article has launched the research on the edge feature identification of the target image to achieve the purpose of coordinated control of the motors that can complete the state adjustment of the target object and coordinate with the manipulator to grasp the target object precisely.This article first explains the background and significance of the topic.Through a brief description of various edge recognition methods,and combining with various methods to analyze the experimental results of the edge recognition of the target object,the Sobel edge recognition algorithm is proposed,and the Sobel algorithm is optimized by using a sliding window in the detection direction.The sliding window algorithm is combined to recognize the features of the object,so as to complete the accurate recognition of the edges and features of the target object,and achieve the purpose of obtaining the coordinates of the feature points of the target object.The conversion between image pixel coordinate system and image physical coordinate system can timely and accurately obtain the physical state information of the target.The pulse signal need to control the motors and the desired target of the precise motor control are real-time obtained.Then PID control strategy is used to complete the real-time control of the motors which achieves the manipulator to grasp the target object.Finally,the overall design scheme is briefly described,and the hardware environment and software environment are introduced.In order to verify the performance of the garlic seeder based on image edge feature information discrimination.the paper carried out the following experimental construction and verification work.Firstly,the hardware-in-the-loop simulation of image feature recognition is carried out.The main chip is connected to the MATLAB upper computer through the serial port to complete the batch processing of target image data.The accuracy of image feature recognition is improved by adjusting the correlation threshold in the process of image processing.Finally,the laboratory experiment debugging of the whole system was carried out by building the garlic seeder experiment platform.The characteristic coordinate information obtained is used to process the pixel coordinate to obtain the pulse that can control the motors rotation and can real-time control the motors to complete the state adjustment before the target object is grabbed,which is convenient for the manipulator to complete the grasping work of the target object.The functional modules designed in this paper can meet the requirements and have a certain theoretical and practical reference value.