Methods and systems for segmenting images having sparsely distributed objects are disclosed. The method includes: performing segmentation with a fully convolutional neural network to obtain a probability image representing the probability that each pixel of an image belongs to a target. The method is characterized by including inputting an image into a first fully convolutional neural network to predict object potential areas in the image; calculating probability sub-images by adopting sub-images representing the object potential areas as a front end input of a second fully convolutional neural network; and splicing the probability sub-images to generate the probability image. Image segmentation is performed rapidly, efficiently and accurately.
METHOD AND SYSTEM FOR PERFORMING SEGMENTATION OF IMAGE HAVING A SPARSELY DISTRIBUTED OBJECT