Accession Number : ADA190554

Title :   Finding Texture Boundaries in Images.

Descriptive Note : Master's thesis,

Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Personal Author(s) : Voorhees, Harry

PDF Url : ADA190554

Report Date : Jun 1987

Pagination or Media Count : 105

Abstract : Texture provides one cue for identifying the physical cause of an intensity edge, such as occlusion, shadow, surface orientation or reflectance change. Marr, Julesz, and others have proposed that texture is represented by small lines or blobs, called 'textons' by Julesz (1981a), together with their attributes, such as orientation, elongation, and intensity. Psychophysical studies suggest that texture boundaries are perceived where distributions of attributes over neighborhoods of textons differ significantly. However, these studies, which deal with synthetic images, neglect to consider two important questions: How can these textons be extracted from images of natural scenes? And how, exactly, are texture boundaries then found? This thesis proposes answers to these questions by presenting an algorithm for computing blobs from natural images and a statistic for measuring the difference between two sample distributions of blob attributes. As part of the blob detection algorithm, methods for estimating image noise are presented, which are applicable to edge detection as well.

Descriptors :   *TEXTURE, *IMAGE PROCESSING, ALGORITHMS, BOUNDARIES, DETECTION, EDGES, ELONGATION, IMAGES, INTENSITY, NOISE, PSYCHOPHYSICS, REFLECTANCE, SYNTHESIS, VISION, THESES

Subject Categories : Computer Programming and Software

Distribution Statement : APPROVED FOR PUBLIC RELEASE