搜索资源列表
sinecostas
- 用costas环检测淹没在噪声和未知任何先验参数的正弦信号检测-with Costas Loop Detection drowned in the noise and any a priori unknown parameters of sinusoidal signal detection
bss_gbjz_ep_eeg_end
- 语音信号的盲分离，是一个很好的在没有先验知识的情况下的分离程序！-voice signals in the blind separation is a good in the absence of a priori knowledge of the separation procedure!
gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
ImageSegmentation_vcRes
- 在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour model
noseecluster
- 聚类分析技术有着广泛应用.因为在对图像进行聚类分析时,通常缺少可资利用的先验知识,所以需要采用无监督的聚类算法.为了适应图像检索的需要,提出了一种新型的无监督聚类方法,即根据离群点信息来自动确定聚类算法的终止时机.此方法还弥补了现有聚类算法在离群点识别、使用上的缺欠.为验证其可行性,用其改进了CURE和ROCK两个经典算法.实验表明,改进后的两个算法都能自动终止,并能取得优于以往的聚类效果. -clustering analysis t
gisyudianzishangwu
- 一种车牌字符分割方法，属于图象处理技术领域，涉及车牌自动识别技术。采用拉普拉斯变换、区域生长和车牌先验知识相结合的方法-a license plate characters segmentation method, is the field of image processing technology, involving the installation of the Automatic Identification Technolo
MmseCohen
- 介绍Cohen用先验信噪比语音增强的方法
gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
activeContourShapePrior
- 应用边界信息与基于mumford-shah泛函的先验形状的图像分割-Application of boundary information and based on the mumford-shah functional for image segmentation a priori shape
darkchannelpriordehazing
- 基于暗原色先验的单一图像去雾算法 香港中文大学的一篇论文-dark channel prior dehazing single image dehazing using dark channel prior
暗原色先验
- 基于何凯明博士，暗原道先验方法的图像去雾处理(According to Dr. He Kaiming's algorithm for de-fog algorithm based on dark aura)
Project_4_haze removal
- 图像处理，图像去雾，何凯明博士的去雾算法，基于暗通道先验的单一图像去雾算法的显示，去雾界的顶峰之作。(Image processing, image de fog, Dr He Kaiming's fog removal algorithm, based on the dark channel prior to a single image fog algorithm, the fog to the peak of the work.)
去雾
- Single Image Haze Removal Using Dark Channel Prior 暗通道先验何凯明经典去雾算法(Single Image Haze Removal Using Dark Channel Prio)
中心先验
- 显著性检测 中心先验,可以使用该代码实现图像的中心先验检测(saliency detection-center prior, which can use this code to estimate the location of salient object)
HEs
- 何凯明经典暗通道先验去雾算法程序实现，程序本人实测(He Kaiming classic dark channel prior fog removal algorithm)
去雾
- 图像去雾代码：暗通道先验，中值滤波，导向滤波(Image defog Code: dark channel prior, median filtering, guided filtering)
Color-Attenuation-Prior-Dehazing-master
- 基于颜色衰减先验的图像去雾代码，很好的实现去雾。(Based on the color attenuation prior image defogging code, it is very good to achieve fog.)
cvpr09defog(matlab)
- 暗原色先验的视频去雾算法 matlab实现(the code of defog using dark-chanel prior algorithm)
DehazorNew
- 暗通道先验图像去雾算法，能实现较为良好的去雾效果(Dark Channel Prior Image Defogging)
利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法
- 利用拉普拉斯先验的压缩感知稀疏重构的贝叶斯方法(The bayesian method of sparse reconstruction using Laplace's prior compressed sensing)