The invention relates to the technical field of
sewage treatment, in particular to a
sewage suspended particle morphology evolution evaluation method based on
machine vision and
time sequence modeling, which comprises the following steps: acquiring a
sewage system suspended particle
image frame, extracting edge pixel coordinates of
suspended particles, measuring a region area, a
boundary length and a central point, screening a morphology stable frame segment and marking, and extracting the edges of the head and
tail frames, comparing to form a coverage evolution graph, analyzing background gray and gradient to obtain a brightness correction graph, and marking a stable orientation propulsion structure. According to the invention, the spatial scale and
time sequence linkage analysis is carried out on the edge pixels of the suspended particle area in the
image sequence, so that the precise recognition and stability labeling of the evolution characteristics of the suspended particle substance structure in the dynamic reaction environment are realized; the multi-
dimensional modeling capability of boundaries, morphological evolution and geometric paths of
suspended particles in a
sewage treatment system is effectively improved, the problems that
sample collection is tedious and parameter calibration is prone to deviation are solved, and the
automation level of image recognition and the continuity, stability and precision of reaction state evaluation are improved.