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八值图像连通区域标记
- 八值图像连通区域标记,为每个连通区域分配一个唯一的标号,处理后的图像按照从左到右,从上到下的顺序获得连续的标号,Binary image connected region eight marks, for each connected region a unique label distribution deal with in accordance with the image from left to right, from top to bottom order of access to
code.rar
- 视频运动物体检测,采用混合高斯分布建立背景模型及差分方法对背景模型进行更新,Sports video object detection, adopt a mixed Gaussian distribution model and set up the background difference method to update the background model
mimo.rar
- 固定天线数目时,发射信噪比为变量,MIMO容量累积分布,The number of fixed antennas, the launch signal to noise ratio for the variable, MIMO capacity cumulative distribution
ZMN-radar
- 利用ZMNL方法进行雷达杂波的仿真与模拟,生成具有瑞利分布-ZMNL method using radar cluttersimulation and modeling to generate a Rayleigh distribution
My_CA_CFAR
- 基于伽马分布的极化SAR图像CFAR检测算法的研究与实现-gamma distribution CFAR detection
facedet
- 人脸检测算法对Haar特征推进,我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。-A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
VC
- 使用c语言产生均匀分布,高斯分布随机数的方法,使用VC为图片进行添加高斯噪声均匀噪声以及椒盐噪声,并且采用a修正的均值滤波和自适应中值滤波进行除噪-Used to produce uniform distribution of c language, method of Gaussian random numbers, use the VC to add a picture uniform noise, Gaussian noise and salt and pepper noise, and
28c4499f77f2
- MSR对灰度图足够了,但对彩色图像还不是特别理想。颜色不饱和有时还很严重。在少数情况下,违反灰度分布的前提会导致不可预料的颜色扭曲。因此,我们考虑一种能提供好的色调再现的颜色恢复算法。当然我们希望该算法要保持可以接受的颜色定常,因为这是Retinex的基本目标之一。-MSR enough for grayscale, but color images is not particularly desirable. Unsaturated colors are sometimes very s
10.1.1.91.4387
- 一种基于显著图像的物体显著性的评定,主要运用了视觉注意机制-We propose a set of novel features including multi-scale contrast,center-surround histogram,and color spatial distribution to describe a salient object locally,regionally,andglobally.
feinuo
- 费诺编码输入为+7个信源符号,其概率分布为:(其中信源符号用A+B、、G表示)A_0.2++B_0.19++C_0.18++D_0.17++E_0.15++F_0.10++G_0.01然后输入程序中得到结果(详细文档,值得一下)-Fenno+7 encoding of input source symbols, the probability distribution as follows: (in which source symbols with A+ B,, G said) A_0.2++
Gaussian.mixture.model.Method
- 高斯混合模型是單一高斯機率密度函數的延伸,由於GMM 能夠平滑地近似任意形狀的密度分佈,因此近年來常被用在語音與語者辨識,得到不錯的效果。-Gaussian mixture model is a single Gaussian probability density function of the extension, as the GMM can approximate arbitrary smooth shape of the density distribution, it is ofte
impulseNoise
- 向一幅图象中添加符合脉冲分布的噪声,从而为图象噪声分析提供图象噪声模板-to add an image consistent with the distribution of pulse noise, noise for image analysis template image noise
tuxiangchuli
- 此源码包括图像的向上向下特效显示,二值化处理以及灰度分布直方图的生成。-This source, including images of the upward downward effects showed Binarization distribution deal as well as the gray histogram generation.
otsu2
- 大津阈值分割法,也称最大类间方差法,利用图像的灰度分布密度函数定义图像的交叉熵。 交叉熵可看作是两个概率系统(即图像背景及目标)的信息量之间的差异。求出的交叉熵越大,则分割效果越好。 -Otsu threshold segmentation method, also known as Otsu method, the use of gray-scale image distribution density function definition images of cross-ent
chirplet_analasis
- 一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点,文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数,得到其能量分布集中于信号的调频率曲线上的结论,此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计;然后通过解线性调频技术获得其初始频率和宽度的估计,仿真结果验证了本文算法的有效性。 -Chirplet an adaptive decomposition al
imagetexture
- 图像纹理分析:对图像局部性质(灰度分布函数的统计)。-Image texture analysis: local nature of the image (gray-scale statistical distribution function).
MIMO_OFDM
- MIMO_OFDM系统中自适应功率分配的算法性能分析,很值得一看!-MIMO_OFDM adaptive power distribution system performance analysis of algorithms, it is worth a visit!
anewdistrbutionofLTcode
- 通过对译码过程中预处理集的分析,提出LT码的最优度分布,指出 其在实际应用中存的问题,并存此基础提出实用的次优度分布-Decoding process by pre-treatment set of analysis, the optimal LT code distribution, pointing out that in practical applications of their existing problems, both practical basis of this dis
image
- 利用差分法配合灰度拉伸对颗粒运动图像进行了处理,直方图分析表明,像素在灰度上的分布特性与颗粒运动的剧烈程度具有相关性-Difference method with the use of gray stretch of particle motion image processing, histogram analysis showed that the pixels in the gray-scale distribution characteristics of particle motion
image
- 应用matlab或VC语言编制图像处理软件,软件功能如下: 一、实验类型 1. 读入图像,并对灰度图像或彩色图像进行显示,对彩色图像可以转化为灰度图像;(8学时) 2. 对读入的图像可以实现减小和提高图像分辨率的功能(16学时) 3. 计算灰度图像的直方图并进行显示,讨论不同图像灰度分布的直方图特征(16学时) 4. 对上述图像进行直方图均衡化处理,分析直方图均衡化的处理结果;(16学时) 5. 对给定的彩色图像,显示其R、G、B三分量图像的噪声图像及H、S、I三分量完成