Patent ID: 7203360
Filing Date: 2007-04-10
Classification: G06K,G06T

Abstract:
1. A learnable object segmentation method comprising the steps of: a) Inputting a learning image for a selected specific application; b) Inputting an objects of interest specification for the specific application; c) Performing purpose directed segmentation learning using the input image and the objects of interest specification to create a segmentation recipe output wherein the segmentation learning performs learning by example and wherein the segmentation learning method includes an object region of interest segmentation learning step and an object type specific segmentation learning step wherein the object region of interest segmentation learning is applied to the measurements associated with each pixel to arrive at a decision for the pixel label including all object types and a non-object type; d) Inputting a second image for the specific application; e) Performing segmentation application using the second image and the segmentation recipe to create a segmentation result output for the specific application.