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- To overcome the above problem, a novel modified FCM algorithm for image segmentation is presented in this paper. 为了克服上述问题,提出了一种新的基于改进的FCM图像分割算法。
- A new hybrid clustering algorithm based on particle swarm optimization and FCM algorithm is proposed. 摘要提出了一种基于模糊C均值算法和粒子群算法的混合算法。
- The new method expands handling objects from single value sets to interval sets compared with general FCM algorithm. 该算法适用于不同特征样本数据的模糊聚类运算,并可对聚类结果进行优化。
- FCM algorithm used in image segmentation is a course of unsupervised fuzzy clustering followed by demarcating. FCM算法用于图像分割,是一种非监督模糊聚类后标定的过程。
- The algorithm is initialized by a statistical histogram based on FCM algorithm, which can speed up the convergence of the algorithm. 算法中使用基于统计直方图的快速FCM算法进行初始化,收敛速度大大提高。
- The improved FCM algorithm was applied in practice,and the simulation of cluster results proved the validity and practicability of the improved FCM. 把改进FCM算法应用到实际生活中,通过对聚类结果的仿真研究进一步验证了模型的有效性和实用性。
- The simulations included at the end indicate the validity of IFCM of which average distortion is 6.81% lower than a similar interval FCM algorithm. 聚类效果的仿真比较表明;IFCM聚类的平均失真度比基于欧氏距离的FCM聚类算法低6.;81%25。
- The algorithm is initialized by a statistical histogram based FCM algorithm, which can speed up the convergence of the algorithm. 算法中使用基于统计直方图的快速FCM算法进行初始化,收敛速度大大提高。
- Experimental results of two types of noisy images indicated that the segmentations were more accurate and robust than those with standard FCM algorithm. 对两种类型图像的实验分割结果表明该方法对噪声和伪斑点具有很强的鲁棒性和对像素聚类的正确性。
- To improve the accuracy of image segmentation, the punishment term of spatial constraint information is imported, and thus the target function in original FCM algorithm is modified. 为提高图像分割的准确性,通过引入空间约束信息的惩罚项,对传统FCM算法中的目标函数进行修正。
- The new KPCM integrates the Mercer kernel function and PCM algorithm,initialized with the results of FCM algorithm,without normalization,have the ability of dealing with noisy data. 在算法中将核方法与模糊可能性算法相结合,将模糊c-均值算法结果作为初始中心,放松了对隶属度归一化的条件,对噪声有更好的处理能力。
- A Fast FCM Algorithm Based on Weighted Sample 基于加权样本的FCM快速算法研究
- Medical Image Segmentation Based on Modified FCM Algorithm 基于改进FCM的医学图像分割
- The apoptosis was monitored by FCM. 流式细胞仪(FCM)测定PC12细胞凋亡百分率;
- FCM was used to assay the change of apoptotic rate. 应用流式细胞仪检测细胞凋亡率的变化;
- Methods The experiments were used by MTT and FCM. 方法采用MTT,流式细胞术分析法。
- Goertzel algorithm is a fast algorithm of DFT. 戈泽尔算法是离散傅立叶变换的一种快速算法。
- Rms algorithm and FFT algorithm have been achieved. 实现了均方根算法和FFT算法。
- Use a second algorithm to validate your results. 使用第二套算法来验证你的结果。
- The expression of apoptosis related gene Fas was detected by FCM. Annexin-V/PI双染色流式细胞术检测细胞凋亡率及凋亡相关基因Fas蛋白的表达。