搜索资源列表
Texture523
- 数字图像的纹理分析应用实例,可以计算图像的能量,熵,惯性矩,局部平稳性和相关。~..~-digital image texture analysis application, the images can be calculated energy, entropy, moment of inertia, local smooth and relevance. ~ ~ ..
proj07-01
- 试验中使用模拟退火算法寻找一6-单元网络能量最小化的模型。模拟退火算法是模拟物理学上的退火技术。其优势在于有可能使系统从局部极小值跳出。-Simulated annealing algorithm used in the experiments to find a 6- unit network model of energy minimization. Simulated annealing algorithm simulates the physics of annealing. The a
LGIF
- 这是“Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation”(简称LGIF模型)的MATLAB源代码。LGIF模型是非常重要局部区域活动轮廓模型, 它结合了CV模型和LBF模型各自的优点。-This is the "Active contours driven by local and global inten
SimulatedAnnealing
- Simulated Annealing (SA) is a smart (meta)-heuristic for Optimization. Given a cost function in a large search space, SA replaces the current solution by a random "nearby" solution. The nearby solution is chosen with a probability that depends on the
LBF_v0.1
- Implicit active contour by local binary fitting energy
Snake
- 原始snake matlab 源碼,簡單版- seg = localized_seg(I,init_mask,max_its,rad,alpha,method) Inputs: I 2D image init_mask Initialization (1 = foreground, 0 = bg) max_its Number of iterations to run segmentation for
RSF_v0
- This code demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al s paper: "Minimization of Region-Scalable Fitting Energy for Image Segmentation", IEEE Trans. Image Processing, vol. 17 (10), pp.
9527
- exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数-exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfuncti
SA_Ex
- 模擬退火是一種通用概率演算法,用來在固定时间内寻求在一個大的搜尋空間內找到的最優解。 模擬退火來自冶金學的專有名詞退火。退火是將材料加熱後再經特定速率冷卻,目的是增大晶粒的體積,並且減少晶格中的缺陷。材料中的原子原來會停留在使內能有局部最小值的位置,加熱使能量變大,原子會離開原來位置,而隨機在其他位置中移動。退火冷卻時速度較慢,使得原子有較多可能可以找到內能比原先更低的位置。 模擬退火的原理也和金屬退火的原理近似:我們將熱力學的理論套用到統計學上,將搜尋空間內每一點想像成空氣
Cyclothings
- This code implements an energy efficient collaborative cyclostationary spectrum sensing approach for cognitive radio systems. An existing statistical hypothesis test for the presence of cyclostationarity is extended to multiple cyclic frequencies and
Codes
- this code is implementation of Implicit Active Contours Driven by Local Binary Fitting Energy in matlab environement. I used this code and it was correct. this codes is free by its author and use it dont have any problem.
leach protocol
- Wireless sensor networks are composed of a large number of disposable wireless sensors that collect information about their surrounding environment and transmit them to the end user. Because these sensors do not have rechargeable batteries, increasin
lbf
- 本程序实现 李纯明 博士的local binary fitting 即LBF模型,目标函数为: 基于区域的局部能量乏函数-The program implements Dr. Li Chunming of local binary fitting That LBF model, the objective function is: lack of function is based on local energy area
Matlab_Code_TAFGLSE_ISCIDE_2013
- Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in additi
IDVR
- This paper presents a dual voltage source inverter (DVSI) scheme to enhance the power quality and reliability of the microgrid system. The proposed scheme is comprised of two inverters, which enables the microgrid to exchange power generated
teager-and-lmd
- 用teager能量算子来解调出复杂信号的纯调频挑夫函数,用LMD来进行局部均值分解-Pure FM demodulated complex signal porters function with Teager energy operator, using LMD to carry out the local mean
PSOTrainBP
- BP神经网络容易陷于局部极小值,PSO算法在无约束非线性函数优化方面性能优越,通常可以直接找寻到全局最优解,即使不能搜多到全局最优解,也距离全局最优点不远。当然,基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络,先将网络进行PSO算法训练,然后BP算法接着进行小范围精细搜索,PSO算法训练神经网络的本质就是将输出误差函数(即能量函数)看成目标函数,PSO对能量函数进行全局寻找最小值。(BP neural n
p4vasp-0.3.30
- Features Open source, GPL license. Written in python (and a bit of C++), supports Linux, Windows, macOS/OSX. Support of most VASP file formats. Displays structure, unitcell, supercell, charge/probability/spin density, local potential, forces, vel
