中国海洋大学学报（自然科学版）2011，Vol.41Issue(1)：175-180,6.
边缘保留自适应提升形态小波及其在甲藻特征提取中的应用
An Edge Reservation Adaptive Lifting Morphological Wavelet and Its Application to Feature Extraction of Dinoflagellates
摘要
Abstract
Adaptive lifting morphological wavelet has the ability of multiscale decomposition of image based on its local characteristic and geometric structure. In this paper, an edge reservation adaptive lifting morphological wavelet is put forward in order to deal with the tough task for extraction of faint sulcus of dinoflagellates with blurred edge and low contrast. Adaptivity is successfully introduced into the update lifting by leaving untouched or adopting sharpening filtering at edge and smoohing filtering at other region of image, which preserves the edge at different resolution image decomposed by this morphological wavelet. Experiments demonstrate that contrast of sulcus of dinoflagellates to the whole image are improved in muhiscale decomposition image by this morphological wavelet. Thus it is more favorable for the extraction of sulcus compared to its original grey-level image.关键词
形态小波/自适应提升/更新提升Key words
morphological wavelet/ adaptive lifting/ update lifting分类
信息技术与安全科学引用本文复制引用
程军娜,姬光荣,冯晨,郑海永..边缘保留自适应提升形态小波及其在甲藻特征提取中的应用[J].中国海洋大学学报（自然科学版）,2011,41(1):175-180,6.基金项目
国家高技术研究发展计划项目 (2006AA09Z178)资助 （2006AA09Z178）
