Model based approach to edge detection and parameterization

S. Morrison, L. M. Linnett

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


An important area in low level image processing is the problem of accurately detecting edges. These edges can then be used as the basis for further algorithmic analysis, such as counting the number of objects in a scene or matching images for example. In this paper a novel technique is presented for edge detection and parameterization based on least squares fitting of an edge model to the data. As well as results in edge detection, images restored using the gained parameterizations are shown.

Original languageEnglish
Pages (from-to)202-205
Number of pages4
JournalIEE Conference Publication
Issue number465 I
Publication statusPublished - 1999
EventProceedings of the 1999 7th International Conference on Image Processing and its Applications - Manchester, UK
Duration: 13 Jul 199915 Jul 1999


Dive into the research topics of 'Model based approach to edge detection and parameterization'. Together they form a unique fingerprint.

Cite this