A comparative study of three shape normalization algorithms

作者：Zhang Wen Liang^*; Zhang Tao; Song Jing Yan

来源：5th International Conference on Wavelet Analysis and Pattern Recognition, 2007-11-02 to 2007-11-04.

• shape normalization
• compact image
• principal axis
• shape compacting

Shape is one of the fundamental visual features in pattern recognition and target tracking. And shape normalization is a very important pre-processing step in image Understanding. In general, there are four basic forms of planar shape distortions caused by changes in viewer's location: translation. rotation, scaling and skewing. A good shape descriptor should be invariant to these distortions. In this paper, we study and compare three shape normalization algorithms: J.G. Len's shape compacting algorithm and its two modified versions: Wang's image ellipse algorithm and Liang g J.J. 's principal avis algorithm. Experiments on a set of images show that all of these algorithms have some drawbacks and we give some advices for modification.

• 出版日期2007
• 单位清华大学