Implementation of a Theory of Edge Detection

This report describes the implementation of a theory of edge detection, proposed by Marr and Hildreth (1979). According to this theory, the image is first processed independently through a set of different size filters, whose shape is the Laplacian of a Gaussian, ***. Zero-crossings in the out...

Full description

Bibliographic Details
Main Author: Hildreth, Ellen C.
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6932
_version_ 1826202001749311488
author Hildreth, Ellen C.
author_facet Hildreth, Ellen C.
author_sort Hildreth, Ellen C.
collection MIT
description This report describes the implementation of a theory of edge detection, proposed by Marr and Hildreth (1979). According to this theory, the image is first processed independently through a set of different size filters, whose shape is the Laplacian of a Gaussian, ***. Zero-crossings in the output of these filters mark the positions of intensity changes at different resolutions. Information about these zero-crossings is then used for deriving a full symbolic description of changes in intensity in the image, called the raw primal sketch. The theory is closely tied with early processing in the human visual systems. In this report, we first examine the critical properties of the initial filters used in the edge detection process, both from a theoretical and practical standpoint. The implementation is then used as a test bed for exploring aspects of the human visual system; in particular, acuity and hyperacuity. Finally, we present some preliminary results concerning the relationship between zero-crossings detected at different resolutions, and some observations relevant to the process by which the human visual system integrates descriptions of intensity changes obtained at different resolutions.
first_indexed 2024-09-23T12:00:19Z
id mit-1721.1/6932
institution Massachusetts Institute of Technology
language en_US
last_indexed 2024-09-23T12:00:19Z
publishDate 2004
record_format dspace
spelling mit-1721.1/69322019-04-11T04:49:15Z Implementation of a Theory of Edge Detection Hildreth, Ellen C. This report describes the implementation of a theory of edge detection, proposed by Marr and Hildreth (1979). According to this theory, the image is first processed independently through a set of different size filters, whose shape is the Laplacian of a Gaussian, ***. Zero-crossings in the output of these filters mark the positions of intensity changes at different resolutions. Information about these zero-crossings is then used for deriving a full symbolic description of changes in intensity in the image, called the raw primal sketch. The theory is closely tied with early processing in the human visual systems. In this report, we first examine the critical properties of the initial filters used in the edge detection process, both from a theoretical and practical standpoint. The implementation is then used as a test bed for exploring aspects of the human visual system; in particular, acuity and hyperacuity. Finally, we present some preliminary results concerning the relationship between zero-crossings detected at different resolutions, and some observations relevant to the process by which the human visual system integrates descriptions of intensity changes obtained at different resolutions. 2004-10-20T20:08:19Z 2004-10-20T20:08:19Z 1980-04-01 AITR-579 http://hdl.handle.net/1721.1/6932 en_US AITR-579 19765702 bytes 7124937 bytes application/postscript application/pdf application/postscript application/pdf
spellingShingle Hildreth, Ellen C.
Implementation of a Theory of Edge Detection
title Implementation of a Theory of Edge Detection
title_full Implementation of a Theory of Edge Detection
title_fullStr Implementation of a Theory of Edge Detection
title_full_unstemmed Implementation of a Theory of Edge Detection
title_short Implementation of a Theory of Edge Detection
title_sort implementation of a theory of edge detection
url http://hdl.handle.net/1721.1/6932
work_keys_str_mv AT hildrethellenc implementationofatheoryofedgedetection