A Regularized Solution to Edge Detection.
Abstract
The authors consider edge detection as the problem of measuring and localizing changes of light intensity in the image. Edge detection does not have a precisely defined goal. The word edge itself, which refers to physical properties of objects, is somewhat of a misnomer. Several years of experience have shown that the ideal goal of detecting and locating physical edges in the surfaces being imaged is very difficult and still out of reach. Edge detection has come to be defined as the first step in this goal of detecting physical changes such as object boundaries--the operation of detecting and locating changes in intensity in the image. Other processes which operate on these measurements of intensity changes will then group boundaries and label and characterize them in terms of the properties of the 3-D surfaces. Intended in this narrow sense, edge detection--this first step in processing the image--is mainly the process that measures, detects and localizes changes of intensity. Derivatives must be estimated correctly to label the critical points in the image intensity array, characterize their local properties (are they minima or maxima or saddle points?) and thus relate them to the underlying physical process(are they shadow edges or depth discontinuities?).
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1985
- Accession Number
- ADA159349
Entities
People
- A. Yuille
- H. Voorhees
- T. Poggio
Organizations
- Massachusetts Institute of Technology