Automatic image segmentation by integrating color-edge extraction and seeded region growing.

Automatic image segmentation by integrating color-edge extraction and seeded region growing. Research Abstract Details 

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Automatic image segmentation by integrating color-edge extraction and seeded region growing. Abstract Text:

J Fan,D Y Yau,A K Elmagarmid,W G Aref,

We propose a new automatic image segmentation method. Color edges in an image are first obtained automatically by combining an improved isotropic edge detector and a fast entropic thresholding technique. After the obtained color edges have provided the major geometric structures in an image, the centroids between these adjacent edge regions are taken as the initial seeds for seeded region growing (SRG). These seeds are then replaced by the centroids of the generated homogeneous image regions by incorporating the required additional pixels step by step. Moreover, the results of color-edge extraction and SRG are integrated to provide homogeneous image regions with accurate and closed boundaries. We also discuss the application of our image segmentation method to automatic face detection. Furthermore, semantic human objects are generated by a seeded region aggregation procedure which takes the detected faces as object seeds.

Automatic image segmentation by integrating color-edge extraction and seeded region growing. Publishing Authors By Initials

J Fan,DY Yau,AK Elmagarmid,WG Aref,

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Automatic image segmentation by integrating color-edge extraction and seeded region growing. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on image processing : a publicat

VOLUME: 10

Page Numbers: 1454-66

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ISSN: 1057-7149

DAY: 7

MONTH: 02

YEAR: 2001

Automatic image segmentation by integrating color-edge extraction and seeded region growing. Information

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LANGUAGE: eng

NlmUniqueID: 9886191

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Grant and Affiliation Information for Automatic image segmentation by integrating color-edge extraction and seeded region growing.

AFFILIATION: Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN.

Country: United States

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MEDLINETA: IEEE Trans Image Process

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