Automatic image segmentation by integrating color-edge extraction and seeded region growing
Top Cited Papers
- 1 October 2001
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 10 (10) , 1454-1466
- https://doi.org/10.1109/83.951532
Abstract
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.Keywords
This publication has 34 references indexed in Scilit:
- Regions adjacency graph applied to color image segmentationIEEE Transactions on Image Processing, 2000
- Automatic moving object extraction toward compact video representationOptical Engineering, 2000
- Detecting human faces in color imagesImage and Vision Computing, 1999
- Face detection for image annotationPattern Recognition Letters, 1999
- Face detection from color images using a fuzzy pattern matching methodPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1999
- Face segmentation using skin-color map in videophone applicationsIEEE Transactions on Circuits and Systems for Video Technology, 1999
- Automatic gradient threshold determination for edge detectionIEEE Transactions on Image Processing, 1996
- Detection of Regions Matching Specified Chromatic FeaturesComputer Vision and Image Understanding, 1995
- Seeded region growingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Comparing images using the Hausdorff distancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993