Improved Bernsen binary algorithm for detection of plant disease leaves

As for the diffcultity of leaf spot disease detection in plant remote identification under complex background of large field，a remote detection method of plant disease was proposed based on improved Bernsen binary algorithm. The disease leaf images were collected by IOT from different areas. According to the different characteristics of color subspace of RGB and HIS of disease leaf and normal leaf and background colors，the spot images were extracted by the improved Bernsen binary algorithm from the four color channels of R，G，B and H， respectively. Then the spot images were obtained by spot image fusion. The proposed method was applied to segment several plant disease leaf images of agricultural IOT. Results showed that the improved algorithm could effectively segment the plant disease images in the complex background environment，remove a large complex background， and obtain the spot image. The proposed method can provide technical guidance for the remote intelligent monitoring system of plant disease in large areas.