Novel Facial Features Segmentation Algorithm

An efficient algorithm for facial features extractions is proposed. The facial features we segment are the two eyes,nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector,morphological approach to detect the face region and facial features regions,and an improved T-shape face mask to locate the extract location of facial features. The experimental results show that the proposed method is robust against facial expression,illumination,and can be also effective if the person wearing glasses,and so on.     

Feature subset selection method for AdaBoost training

The feature-selection problem in training AdaBoost classifiers is addressed in this paper.A working feature subset is generated by adopting a novel feature subset selection method based on the partial least square(PLS)regression,and then trained and selected from this feature subset in Boosting.The experiments show that the proposed PLS-based feature-selection method outperforms the current feature ranking method and the random sampling method.     

a—Si:H薄膜显微形貌的图象处理

用动态方法跟踪观测a-Si:H薄膜原位退火过程中发生的晶化现象,获得晶化形貌的显徽图象,通过对图象的数字采集和计算,得到a-Si:H薄膜样品在不同退火温度下,显徽图像的Sandbox关系曲线。结果表明,在一定条件下所形成的微结构具有分形结构特性。计算了显徽图象的分维,讨论了a-Si:H薄膜结构驰豫(相变)与分形结构形成的关系。