Adaptive method for image segmentation based in local feature

Abstract

This paper presents a method for finding a threshold surface that fits each region of the image and allows separation of objects from background. A surface threshold is determined by interpolating the gray levels at points where there is a high gradient, corresponding with object boundaries. The gradient map and the gray- level distribution give the necessary information for calculating an adaptive threshold level at each point of the image that allows successful segmentation of images in which object-background boundaries are well defined. This method has been tested successfully in different applications of artificial vision oriented to object manipulation by robots and the measurement of wood volume carried by trucks in a cellulose factory.