Image segmentation based on the integration of pixel affinity and deformable models

被引:17
作者
Jones, TN [1 ]
Metaxas, DN [1 ]
机构
[1] Univ Penn, Dept Comp & Informat Sci, Philadelphia, PA 19104 USA
来源
1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 1998年
关键词
D O I
10.1109/CVPR.1998.698627
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a general-purpose method we have developed for automatically segmenting objects of an unknown number and unknown locations in images. Our method integrates deformable models and statistics of image cues including intensity! gradient, color and texture. By using a combination of image features rather than a single feature such as gradient, our method is more robust to noise and sparse darn. To allow for the automated segmentation of an unknown number and locations of objects, we simultaneously segment objects initialized at uniformly distributed points in the image. A method is developed to automatically merge models corresponding to the sar?re object. Results of the method are presented for several examples, including greyscale, color and noisy images.
引用
收藏
页码:330 / 337
页数:8
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