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Variational models provide reliable formulation for segmentation of features and their boundaries in an image, following the seminal work of Mumford-Shah (1989, Commun. Pure Appl. Math.) on dividing a general surface into piecewise smooth sub-surfaces. A central idea of models based on this work is to minimize the length of feature’s boundaries (i.e., H1 Hausdorff measure). However there exist problems with irregular and oscillatory object boundaries, where minimizing such a length is not appropriate, as noted by Barchiesi et al. (2010, SIAM J. Multiscale Model. Simu.) who proposed to miminize L2 Lebesgue measure of the γ-neighborhood of the boundaries. This paper presents a dual level set selective segmentation model based on Barchiesi et al. (2010) to automatically select a local feature instead of all global features. Our model uses two level set functions: a global level set which segments all boundaries, and the local level set which evolves and finds the boundary of the object closest to the geometric constraints. Using real life images with oscillatory boundaries, we show qualitative results demonstrating the effectiveness of the proposed method. 相似文献
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本次研究采用微量量热技术分析了铅对两种常见土壤微生物(假丝酵母菌、枯草杆菌)的毒性作用。实验结果表明,低浓度Pb(Ⅱ) (10.0 µg mL-1) 对两种土壤微生物的生长均有促进作用;而当Pb(Ⅱ) 浓度较高时(假丝酵母菌 20.0~320.0 µg mL-1、枯草杆菌20.0~160.0 µg mL-1),微生物的生长则明显被抑制了,此时微生物的生长速率常数k与Pb(Ⅱ) 的浓度c呈现线性相关。同时,细胞干重法和浊度法也应用于本次研究中,并与微量量热曲线拟合,充分证明了微量量热技术对研究铅对土壤微生物毒性作用的准确性和有效性。 相似文献
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用旋转矢量法解决简谐振动问题会使解题难度降低,可以形象、直观地表示出简谐振动中各物理量之间的相互关系,有助于简化问题解决中的数学过程.在求解波动问题时,旋转矢量法同样可以有效地解决相位的问题. 相似文献
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从基尔霍夫定律与中学电学知识的比较,找到基尔霍夫电流定律与电荷守恒定律、基尔霍夫电压定律及欧姆定律之间的联系,结合中学生知识基础分析,发现中学生学习基尔霍夫定律有一定的操作性. 相似文献
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五年制小教大专理科生普遍对于难度比较大的大学物理理论学习不是很感兴趣,造成物理素养较低的问题。根据学生对于物理学史、信息技术、动手实验的感兴趣的现状,结合大学物理的教学,培养和提高大专生的物理素养水平。 相似文献
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刚性-柔性嵌段共聚物聚苯基喹啉-b-聚乙二醇(PPQ-b-PEG)在选择性溶剂中具有自组装行为. 该共聚物在V (三氟乙酸, TFA)︰V (二氯甲烷, DCM) = 1︰1的混合溶剂中能够自组装成直径为几个微米的聚合物空心球. 空心球尺寸随着PPQ聚合度的增大而增大, 具有单分散性, 溶液浓度对球径没有影响, 浓度过低时, 球的表面出现毛刺. 同时所形成稀溶液的最大吸收波长为378 nm, 最大发射波长为605 nm. 相似文献
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In this work, we propose a new variational model for multi-modal image registration and present an efficient numerical implementation. The model minimizes a new functional based on using reformulated normalized gradients of the images as the fidelity term and higher-order derivatives as the regularizer. A key feature of the model is its ability of guaranteeing a diffeomorphic transformation which is achieved by a control term motivated by the quasi-conformal map and Beltrami coefficient. The existence of the solution of this model is established. To solve the model numerically, we design a Gauss-Newton method to solve the resulting discrete optimization problem and prove its convergence; a multilevel technique is employed to speed up the initialization and avoid likely local minima of the underlying functional. Finally, numerical experiments demonstrate that this new model can deliver good performances for multi-modal image registration and simultaneously generate an accurate diffeomorphic transformation. 相似文献
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论述了物理学作为自然科学的重要组成部分,是提升幼儿教师科学素养和科学探究能力水平的重要学科,学前教育专业教师应该针对这些实际问题,及时调整教学策略,努力培养高素质的幼儿教师. 相似文献
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