欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了有效地解决血管遮挡、噪声污染、光照不均、对比度小以及个体间差异大等视乳头图像分割中固有的难题,提出采用基于图论的多相分段常数水平集Mumford-Shah图像分割模型及其相应的图分割最优化方法。实验表明,该方法能够比经典的多相分段常数水平集Mumford-Shah模型更快更精准地分割青光眼病人视乳头图像中的视杯和视盘形态。
英文摘要：
In order to solve the existing problems caused by blood vessels obscuration,noise pollution,illumination odds,low contrast,and inter-differences when one segments the optic cup and disk in optic nerve head images,this paper proposed to use graph min-cut method for multiphase Mumford-Shah model.The tests demonstrate that the proposed method is more efficient and more accurate than PCLSM for multiphase Mumford-Shah model.
同期刊论文项目
同项目期刊论文
Multiobjective optimization of HEV fuel economy and emissions using the self-adaptive differential e
Rough neural network modeling based on fuzzy rough model and its application to texture classificati
A Selection Model for Optimal Fuzzy Clustering Algorithm and Number of Clusters Based on Competitive
A multiscale bi-Gaussian filter for adjacent curvilinear structures detection with application to va
Multi-Objective self-adaptive differential evolution with elitist archive and crowding entropy-based
On Global Robust Stability of a Class of Delayed Neural Networks with Discontinuous Activation Funct
Neural networks-based adaptive robust control of crawler-type mobile manipulators using sliding mode
Long-term Prediction of Time Series with Iterative Extended Kalman Filter Trained Single Multiplicat
Intelligent injection liquid particle inspection machine based on two-dimensional Tsallis Entropy wi
Predicting reliability and failures of engine systems by single multiplicative neuron model with ite
位置：