Image segmentation method and system, storage medium and electronic equipment

The invention relates to an image segmentation method and system, a storage medium and electronic equipment, and the method comprises the steps: marking each original training image in a training image set, and obtaining all first training images; training a preset deep learning model for image segmentation based on all the original training images and all the first training images to obtain a target deep learning model; and inputting a to-be-detected image into the target deep learning model to obtain an image segmentation result of the to-be-detected image. According to the method, the image annotation features are fused into the deep learning model, the powerful learning ability of the deep learning network is fully utilized, and the image segmentation precision is improved through priori knowledge constraint. 本发明涉及一种图像分割方法、系统、存储介质和电子设备，包括：对训练图像集中的每个原始训练图像进行标注，得到所有的第一训练图像；基于所有的原始训练图像和所有的第一训练图像，对用于图像分割的预设深度学习模型进行训练，得到目标深度学习模型；将待测图像输入至所述目标深度学习模型中，得到所述待测图像的图像分割结果。本发明通过将图像标注特征融合到深度学习模型中，充分利用深度学习网络强大的学习能力，以通过先验