Accession Number : ADA290792

Title :   Object Oriented Segmentation of Images.

Descriptive Note : Final rept. Mar 91-Oct 94,

Corporate Author : NORTHEASTERN UNIV BOSTON MA

Personal Author(s) : Shah, Jayant

PDF Url : ADA290792

Report Date : 21 DEC 1994

Pagination or Media Count : 19

Abstract : The central theme of this research project is recovery of object shapes from noisy images. The main mathematical techniques are energy functionals and gradient descent. The goal is to construct vertically integrated models capable of incorporating constraints imposed by various objectives such as noise suppression, boundary detection, shape description and object recognition. The difficulty with this approach is that these functionals are very hard to implement on account of their nonlinerity and the need to find discontinuous solutions. Therefore, the main emphasis of this research project has been on the formulation of approximate models. The key ingredient is representation of the discontinuity locus by a continuous variable which is then used to control processes at hand such as noise suppression or stereo matching. Specific formulations are developed for nonlinear smoothing of images, stereo matching which takes into account half-occlusions, recovery of surface shapes from shading data in the presence of noise and discontinuities and finally, curve evolution for locating and smoothing object boundaries. (MM)

Descriptors :   *IMAGE PROCESSING, EDGES, SHAPE, TRANSFORMATIONS(MATHEMATICS), PATTERN RECOGNITION, SHADOWS.

Subject Categories : Cybernetics

Distribution Statement : APPROVED FOR PUBLIC RELEASE