EdgeFlow: a technique for boundary detection and image segmentation

Author

Ma, Wei-Ying ; Manjunath, B.S.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

9

Issue

8

fYear

2000

fDate

8/1/2000 12:00:00 AM

Firstpage

1375

Lastpage

1388

Abstract

A novel boundary detection scheme based on “edge flow” is proposed in this paper. This scheme utilizes a predictive coding model to identify the direction of change in color and texture at each image location at a given scale, and constructs an edge flow vector. By propagating the edge flow vectors, the boundaries can be detected at image locations which encounter two opposite directions of flow in the stable state. A user defined image scale is the only significant control parameter that is needed by the algorithm. The scheme facilitates integration of color and texture into a single framework for boundary detection. Segmentation results on a large and diverse collections of natural images are provided, demonstrating the usefulness of this method to content based image retrieval

Keywords

content-based retrieval; edge detection; image colour analysis; image segmentation; image texture; EdgeFlow; boundary detection; color; content based image retrieval; control parameter; edge flow; image location; image segmentation; predictive coding; stable state; texture; user defined image scale; Application software; Computer vision; Content based retrieval; Filtering; Gabor filters; Image edge detection; Image retrieval; Image segmentation; Predictive coding; Predictive models;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.855433

Filename

855433