Biological image intelligent identification and automatic measurement method and system

Abstract

The invention discloses a method and a system for intelligently identifying and automatically measuring a biological image, which are used for segmenting an object by simply clicking or interactively selecting points to be contained or discharged in the object, and also can be used for creating segmentation by drawing a convenient frame or a segmentation region by using a polygon tool. And real-time interaction with the model is allowed to carry out second confirmation and modification, after a correct mask is obtained, a user can automatically obtain needed phenotype data such as area, length and width, perimeter, roundness and eccentricity, after detection is completed, the user can determine to output a detected table result to the CSV by clicking a button, and the mask can be marked or exported, so that the detection efficiency is improved. And the mask can be marked or exported. Through the process, the image measurement speed can be greatly improved, and the problem that an existing measurement system lacks standardization and repeatability is solved.

Images