Sciweavers

Share
DAS
2004
Springer

Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid

12 years 1 months ago
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentation of textual components for subsequence extraction in document analysis. The segmentation is done in the RGB color space. A simple color distance measurement and a category of color thresholds are derived. The proposed method utilizes a hybrid approach where color feature based clustering followed by detailed region based segmentation is performed. Clustering is done by merging image color points surrounding a color seed selected dynamically. The clustered regions are then put through a detailed segmentation process where an irregular pyramid structure is utilized. Dynamic and repeating selection of the most suitable seed region, fitting changing local condition during the segmentation, is implemented. The growing of regions is done through the use of multiple seeds growing concurrently. The algorithm is ev...
Poh Kok Loo, Chew Lim Tan
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where DAS
Authors Poh Kok Loo, Chew Lim Tan
Comments (0)
books