Research on Image Preprocessing of Silkworm Cocoon Based on Machine Vision

In the past few years, silkworm cocoon image detection has been artificially degenerated, and it is the focus of recent years for how to use mechanized large-scale detection of cocoon mass. In the research, machine vision, as a detection method, is applied in silkworm cocoon detection; and the acquired silk cocoon image is processed and analyzed through the methods of binarization, machine vision, and LabVIRW. The effective identification of defective cocoons and the effective identification of cocoons and normal cocoons can be realized.