Fuente: WIPO "processing tomato" The invention relates to the field of image processing, in particular to a tomato disease and insect pest intelligent detection method based on image processing, which comprises the following steps: acquiring a tomato leaf image, and obtaining a grey-scale image and a binary image; obtaining normal pixel points and abnormal pixel points according to the hues of the pixel points, and obtaining an abnormal area according to the abnormal pixel points; acquiring evaluation indexes corresponding to different k value clusters, and acquiring an optimal k value and an optimal clustering result; obtaining the texture density of each connected domain according to the area of each connected domain and the area of each connected domain after convex hull detection; obtaining the texture definition of each category according to the gray level co-occurrence matrix of each category; obtaining the texture definition of each connected domain according to the texture definition of each category; according to the texture density and the texture definition of each marked connected domain, obtaining an evaluation index of each marked connected domain, and obtaining a tomato pest and disease damage area and a pest and disease damage condition. The image processing method is used for obtaining the tomato disease and insect pest area, and the accuracy of tomato disease and insect pest detection is improved.