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Itrac_Ver_1_3
- Author: David Sedarsky Summary: MatLab GUI for interface tracking and edge velocity determination MATLAB Release: R14SP2 Required Products: Image Processing Toolbox Descr iption: Itrac works on image pairs taken at times T1 and T2
ifnn
- ifnn，if神经网络，用于matlab，Integrate-and-Fire(LIF)
LIF
- By introducing the local image fitting (LIF) energy to extract the local image information, the model is able to segment images with intensity inhomogeneities.
LIF
- 一个新的主动轮廓模型算法，简化了传统的实现过程，性能也有所提高。相关论文(Active Contours Driven by Local Image Fitting Energy)发表在Pattern Recognition 2009上。-A new active contour model algorithm, simplifying the traditional implementation process, performance also improved. Related Paper
MD_PBG
- 金属-电介质（Ag-LiF）微腔模式及透射光谱计算-Metal- dielectric (Ag-LiF) micro-cavity model and calculation of transmission spectra
kuaisutisheng
- 针对CT 医学图像和MR I 医学图像成像特点, 提出了基于快速整数提升小波变换的融合方法。在CT 和 MR I 两幅医学图像配准的前提下, 利用提升小波变换把图像分解成低频和高频子图像, 对于小波变换后的高频 子图像, 选择区域标准差大的作为融合后的子图像 对于低频子图像, 采用加权融合, 最后进行小波逆变换, 得到 融合后的图像, 并对融合后图像用信息熵、平均梯度、相关系数的指标进行评价。实验结果表明, 基于快速整数提 升小波变换融合中, 小波高低频系数采用不同的规则能够取得
Green-phosphorescent-OLED
- 用磷光材料Ir (ppy)3 制备了高效率顶部发射绿色有机发光二极管(OLED) ,器件的结构为: ITO/ Ag/NPB/ Ir (ppy) 3 (5 wt ) :TPBI/ TPBI/ LiF/ Al。研究发现与传统的无微腔结构器件相比顶部发射器件的性能有大幅度提高-With a phosphorescent material Ir (ppy) 3 was prepared by high-efficiency green organic light-emitting diode top e
LIF
- matlab程序进行大脑脑白质二维的快速分割与提取-matlab program for brain white matter two-dimensional fast segmentation and extraction
LIF
- 牛人的图像分割的代码，文件夹里附带算法的参考文章，值得学习-image segmentation
LIF
- 基于主动轮廓算法的一个程序代码，有demo很好用的啊，很方便的啊-Based on an active contour algorithm using special case, easy to use and principles of analysis and processing, good ah
Engin-2
- Oldukç a zor olan Tif,Nif,Lif Ş art Komutları . Lookout.
LIF
- 一种基于区域活动轮廓模型，通过引入局部的图像拟合能量来提取图像的局部信息，能够有效的额分割强度不均一的图片。较传统的水平集方法有更少的计算量-By introducing the local image fitting(LIFenergy to extract the local image information,our model is able to segment image with intensity inhomogeneities.
2013-Energy-Load-Balancing-Strategy-to-Extend-Lif
- This protocol presents a mathematical formulation and a heuristic to support connectivity, flow conservation constraints, data capacity per link, constraints related with communication and sensing range of sensors, and splitting constraints in orde
cod-asli
- the code is THE LEAKY INTEGRATE-AND-FIRE (LIF) NEURON
lab1
- LIF Segmentation algorithm for image processing using matlab
train-images-idx3-ubyte
- Leakly inegrate and fire model
Spinking_Neuron_GUI
- spiking model for LIF
irisDemo
- random file for neural networking iris
LIF
- 如题所示，为LIF模型图像分割代码，包括图片(As shown in the title, image segmentation code for LIF model, including pictures.)