DESIGN AND EXPERIMENT OF FILM LAYING QUALITY MONITORING SYSTEM FOR COTTON PRECISION PLANTER

To realize real-time monitoring of film laying process cotton precision planter and improve intelligent level planter, based on advanced morphological filtering method graphical programming Labview software, a quality system is designed. Using the Vision Assistant visual assistant, uses color extraction function to convert colors grayscale images. It LOOKup Table FFT filter perform transformation, binarization it respectively. then basic morphology acquire various components in plastic image. realizes parameters such as width daylighting surface, side length or seam mechanical damaged part, edge covering soil. The performance test results showed that worked stably reliably, average accuracy lighting surface soil reached more than 95%, at damage part 88%. solved problems difficulty recognizing similarity between background interferer (soil, etc.) could accurately detect real time. effectively improved operation working efficiency met practical requirements monitoring.