Method for image segmentation

Abstract

The present invention relates to a method for image segmentation comprising the steps of assigning a label to an image using a neural network; and generating a significance matrix, comprising a set of significance values wherein each significance value is proportional to the significance of an image segment for assigning a label to the image by the neural network, wherein the significance matrix is an output of an image classification model. The invention further relates to a System for image segmentation comprising an indicator module configured to receive an input image and to generate at least one significance matrix for an image class based on the input image, wherein the significance matrix comprises a set of significance values and wherein each significance value is proportional to a significance of an image segment on assigning a label to the image, further comprising a segmentation module configured to generate a segmentation map for the input image based on the at least one significance matrix and the input image to identify at least one image element corresponding to the image class.

Dependencies are inferred from the claim text.