北京师范大学学报（自然科学版）2011，Vol.47Issue(2)：122-125,4.
基于边缘信息和先验形状的水平集图像分割方法及其在病原菌识别中的应用
LEVEL SET BASED EDGES AND SHAPE PRIOR SEGMENTATION FOR BACTERIA IMAGE RECOGNITION
摘要
Abstract
Extracting one object from an image with multiple objects is researched. Level set segmentation and registration of contour lines were modeled with statistical and variational approaches, with level set based edges and shape prior segmentation model is constructed to deal with image with conglutinated objects, and applied in the segmentation of bacteria images. Edge information is added to regularization of segmenting line,such that attraction of object edges to active contour increases, and some effects led by noises, shadow and impurities of images are eliminated. Data show that improved level set based shape prior segmentation model can distinguish a single object from an image with several overlapped objects, and perfect the image processing for bacteria recognition based on microscope images.关键词
图像分割/水平集方法/先验形状/目标粘连/自动识别Key words
image segmentation, level set methods, shape prior, overlapped objects, self-motion recognition引用本文复制引用
周翔,郇中丹,黄海洋,李宝聚..基于边缘信息和先验形状的水平集图像分割方法及其在病原菌识别中的应用[J].北京师范大学学报（自然科学版）,2011,47(2):122-125,4.基金项目
国家自然科学基金资助项目(11071023) （11071023）
