Automatic seeded region growing for color image segmentation

Frank Y. Shih; Shouxian Cheng

doi:10.1016/j.imavis.2005.05.015

Automatic seeded region growing for color image segmentation

Frank Y. Shih, Shouxian Cheng

Computer Science

Research output: Contribution to journal › Article › peer-review

349 Scopus citations

Abstract

In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YC_bC_r color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.

Original language	English (US)
Pages (from-to)	877-886
Number of pages	10
Journal	Image and Vision Computing
Volume	23
Issue number	10
DOIs	https://doi.org/10.1016/j.imavis.2005.05.015
State	Published - Sep 20 2005

All Science Journal Classification (ASJC) codes

Signal Processing
Computer Vision and Pattern Recognition

Keywords

Color image processing
Image segmentation
Region-merging
Seeded region growing

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10.1016/j.imavis.2005.05.015

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title = "Automatic seeded region growing for color image segmentation",

abstract = "In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YCbCr color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.",

keywords = "Color image processing, Image segmentation, Region-merging, Seeded region growing",

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AU - Cheng, Shouxian

PY - 2005/9/20

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N2 - In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YCbCr color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.

AB - In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YCbCr color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.

KW - Color image processing

KW - Image segmentation

KW - Region-merging

KW - Seeded region growing

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M3 - Article

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EP - 886

JO - Image and Vision Computing

JF - Image and Vision Computing

IS - 10

ER -

Automatic seeded region growing for color image segmentation

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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