搜索资源列表
GaborandLBP
- 首次提出将局部二进制模式(LBP) 用到掌纹识别中。借鉴分级检索的思想，先采用Gabor滤波器提取掌纹的全局能量特 征。后采用LBP算子提取局部特征实现两次分类。-First proposed the Local Binary Pattern (LBP) used palmprint recognition. Learn classification retrieval of thought, first use Gabor filter to extract palmprint globa
dd2kj
- 坐标转换，三维情况下，局部到整体坐标，输入参数为7个-Coordinate conversion, three-dimensional case, the local to global coordinates, the input parameters for the 7
3ddeformation
- 用VS2003开发的变形，实现了局部变形和全局变形，效果显著。不过需要用VS03以上版本打开-Deformation developed with VS2003 and realized the local deformation and global deformation, obviously. However, they must open VS03 above
patch_sailency
- 主要应用于显著性检测，采用局部块灰度值与全局比较的方法-Mainly used in saliency detection, the use of local and global block gray value comparison method
Maximum_partially_shaded_conditions
- This paper proposes a novel algorithm to track the global power peak under partially shaded conditions. The formulation of the algorithm is based on several critical observations made out of an extensive study of the PV characteristics and th
MPPT
- 光伏阵列受到局部阴影遮蔽时其}-v特性会呈现多峰特性，出现多个局部峰值。为了避免传统最大功率点跟踪算法在此情况卜难以找到全局的最大功率点，文章提出了一种优化最大功率点跟踪算法，该算法适用于局部和全局阴影发生的情况、在局部阴影情况卜，通过MATLAB仿真和样机试验与传统最大功率点跟踪算法相比，该优化算法能够判断阴影遮蔽情况是否发生，在局部和全局均一阴影的情况卜都能够跟踪到全局最大功率点避兔光伏阵列的功率损失提高光伏系统效率 -PV array by the partial shadowing
cy
- 模糊控制的一级倒立摆仿真，采用TS模型，TTS模糊模型，是非线形复杂系统模糊建模中一个典型的模糊动态模型。这类模型采用的模糊规则：其前件是依据系统输入、输出间是否存在局部线形关系来进行划分；而其后件是多项式线形方程来表达，从而构成各条规则间的线形组合，使非线形系统的全局输出具有良好的线性描述特性。-Fuzzy Control of an inverted pendulum simulation, using the TS model, TTS fuzzy model, a non-linear
niblackbinarization
- niblack是一种局部二值化方法，对于光照不均的图像有较好的二值化效果。-niblack is a local binarization method.Compare with other global binarization method,it can get better result when illumination uneven.
GL-25
- 基于新的交叉算子的全局与局部实数编码遗传算法GL-25-Global and local real-coded genetic algorithms based on parent-centric crossover operators
Immune-particle-swarm-algorithm
- 免疫粒子群算法，这种免疫粒子群优化算法结合了粒子群优化算法具有的全局寻优能力和免疫系统的免疫信息处理机制，并且实现简单，改善了粒子群优化算法摆脱局部极值点的能力。-Immune particle swarm algorithm, this immune particle swarm optimization PSO combines the global optimization ability of the immune system and immune mechanisms of info
LE
- from their own experiences. Usually there is no centralized control system dictating how individual particle will behave. It is the local interactions between particles that lead to the emergence of global behavior
ques6
- Write MATLAB code that will do the following. (a) Read a gray image and determine the histogram. (b) Equalize the histogram using normal and adaptive histogram equalization technique (Global). (c) Equalize the histogram using normal and adaptiv
Learning-Based-License-Plate-Detection-Using-Glob
- Learning-Based License Plate Detection Using Global and Local Features
sss
- - Color provide an important clue for extracting the new color LBP histogram features for face recognition using Local Binary Pattern technique. To reduce redundancy RGB color space converted to YCbCr color space. The Local Binary Pattern is a non pa
PSO
- 粒子群算法matlab代码，可运行，能找到函数的局部最值和全局最值。-Particle swarm algorithm matlab code, can run, the value of the value of local and global can find function.
hidden_feature_enhancement
- 这个脚本显示了如何使用本地局部和全局直方图共同加强图像,特别针对图像上有隐藏的部分。 利用了nlfilter()函数及循环遍历像素值修改。-This scr ipt shows to how to use local and global histograms to work together to locally enhance the image, especially suitable for the case that parts of the image may contain
Cloud-image-processing
- 处理云图数据，通过对云图加伪彩色便于观察分析，并且图像处理中设计了漫游、放大、缩小等功能，以便能对云图的全局或局部进行观察、分析。-Cloud data processing, through the cloud plus pseudo-color for easy observation and analysis, and image processing design roaming, zoom and other functions, in order to be able to clou
background-model8
- ：基于背景建模的运动目标分割是智能视频监控的重要任务，模型的质量直接影响到检测、跟踪、识别等运动分析的准确性．当前的建模方法多是单层的，忽略了像素特征在时域和空域上的联系，模型描述不够准确，对于背景扰动、全局光照变化及复杂的室内外场景等多种情况鲁棒性不强，导致了分割中出现空洞和噪声点．针对这些问题提出了一种双层建模的方法，在第一层提取时域上的像素亮度特征采用码本建模，第二层提取邻域纹理特征采用基于中心对称的局部二值模式建模．实验证明该方法在用于运动分割时，比常用方法具有更好的准确性和鲁棒性．-M
Simulated-Annealing-Tools-Software
- 模拟退火算法是通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-Simulated annealing algorithm is a time-varying by giving the search process and ultimately tends to zero the probability of jumps, thus can effectively avoid local minima and eventual
GA-BP
- GA—BP运用GA对BP神经网络进行训练，取得的最优解作为初始链接权值和阈值，以对BP神经网络局部搜索能力强、全局搜索能力差的缺点进行改进，来达到提高BP神经网络的性能的目的。-GA GA-BP using BP neural network is trained to obtain the optimal solution as the initial link weights and thresholds of BP neural network of local search abilit