Adaptive image region-growing

by: Yian-Leng Chang, Xiaobo Li

Image Processing, IEEE Transactions on, Vol. 3, No. 6. (1994), pp. 868-872.

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Abstract

Proposes a simple, yet general and powerful, region-growing framework for image segmentation. The region-growing process is guided by regional feature analysis; no parameter tuning or a priori knowledge about the image is required. To decide if two regions should be merged, instead of comparing the difference of region feature means with a predefined threshold, the authors adaptively assess region homogeneity from region feature distributions. This results in an algorithm that is robust with respect to various image characteristics. The merge criterion also minimizes the number of merge rejections and results in a fast region-growing process that is amenable to parallelization

@article{citeulike:1307302, abstract = {Proposes a simple, yet general and powerful, region-growing framework for image segmentation. The region-growing process is guided by regional feature analysis; no parameter tuning or a priori knowledge about the image is required. To decide if two regions should be merged, instead of comparing the difference of region feature means with a predefined threshold, the authors adaptively assess region homogeneity from region feature distributions. This results in an algorithm that is robust with respect to various image characteristics. The merge criterion also minimizes the number of merge rejections and results in a fast region-growing process that is amenable to parallelization}, author = {Chang, Yian-Leng and Li, Xiaobo }, citeulike-article-id = {1307302}, journal = {Image Processing, IEEE Transactions on}, keywords = {segmentation}, number = {6}, pages = {868--872}, posted-at = {2008-04-03 05:51:08}, priority = {4}, title = {Adaptive image region-growing}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=336259}, volume = {3}, year = {1994} }

RIS record

TY - JOUR ID - citeulike:1307302 L3 - citeulike-article-id:1307302 TI - Adaptive image region-growing JF - Image Processing, IEEE Transactions on VL - 3 IS - 6 SP - 868 EP - 872 N2 - Proposes a simple, yet general and powerful, region-growing framework for image segmentation. The region-growing process is guided by regional feature analysis; no parameter tuning or a priori knowledge about the image is required. To decide if two regions should be merged, instead of comparing the difference of region feature means with a predefined threshold, the authors adaptively assess region homogeneity from region feature distributions. This results in an algorithm that is robust with respect to various image characteristics. The merge criterion also minimizes the number of merge rejections and results in a fast region-growing process that is amenable to parallelization KW - segmentation AU - Chang, Yian-Leng AU - Li, Xiaobo PY - 1994/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=336259 ER -

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