Gradient and Laplacian Edge Detection

Phillip A. Mlsna, Jeffrey J. Rodriguez

Research output: Chapter in Book/Report/Conference proceedingChapter

9 Scopus citations


One of the most fundamental image analysis operations is edge detection. The everyday notion of an edge is usually a physical one, caused either by the shapes of physical objects in three dimensions or by their inherent material properties. Described in geometric terms, there are two types of physical edges—the set of points along which there is an abrupt change in local orientation of a physical surface and the set of points describing the boundary between two or more materially distinct regions of a physical surface. This chapter discusses the basics of gradient and Laplacian edge detection methods. Following each, the chapter also describes several of the more important and useful edge detection algorithms based on that approach. Although the primary focus is on gray-level edge detectors, some discussion of edge detection in color and multispectral images is included.

Original languageEnglish (US)
Title of host publicationHandbook of Image and Video Processing, Second Edition
Number of pages19
ISBN (Electronic)9780121197926
StatePublished - Jan 1 2005

ASJC Scopus subject areas

  • General Engineering
  • General Computer Science


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