搜索资源列表
OperateDIB
- 图像复原处理，有卷积模糊、卷积加噪模糊、逆滤波复原、维纳滤波复原和傅里叶变换等无个主要功能组成。-Image restoration processing, a convolution blur, convolution and noise fuzzy, inverse filter restoration, Wiener filtering restoration and Fourier transform without major functional components.
weinai
- 维纳滤波对图像模糊的处理以及对加入噪声的图像进行清晰处理-Wiener filter for image processing and fuzzy image on a clear noise added deal
FusionSegmentationAlgorithm
- 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向 异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚 集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和 MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
qumohu
- 对已有图像进行模糊处理并加噪声，之后进行去模糊处理-Fuzzy image processing of existing and adding noise, to blur after
Fuzering
- 模糊神经网络的多传感器系统滤波降噪Fuzzy neural network multi-sensor system noise reduction filtering-Fuzzy neural network multi-sensor system noise reduction filtering
matlab4
- This paper presents a fuzzy topology-based method to facilitate the use of larger gradient kernels. The new method effectively limits the response area around the edge and prevents neighboring objects to affect each other. Synthetic images are used t
matlab55
- This paper presents a fuzzy topology-based method to facilitate the use of larger gradient kernels. The new method effectively limits the response area around the edge and prevents neighboring objects to affect each other. Synthetic images are used t
model1
- 去除图像因为运动、噪声而产生的模糊,使用方法：维纳滤波、直接逆滤波、L-R迭代-Remove the fuzzy of image generated by movement, noise
fcm
- 改进fcm分割算法，它是一种无监督分割方法，无需人的干预，分割过程完全是自动完成 它可以很好地处理噪声，部分体积影响和图像模糊。-Improve FCM segmentation algorithm, it is a kind of unsupervised segmentation method, without human intervention, process fully automatic segmentation complete It can be a very good de
GFNNjieousuani
- 给出了一模糊神经网络解耦控制算法,对含有噪声的二阶系系统进行控制,并与PID控制结果进行了比较,效果不错! -Given a fuzzy neural network decoupling control algorithm, controls the second-order systeem for noise control and PID control and the results were compared with the effect of good!
wave
- 自适应模糊小波变换法程序 比较难 主要是用小波变换来实现图像的去除噪声-Adaptive fuzzy wavelet transform method program more difficult to achieve the image to remove noise using wavelet transform
NAFSMFilter
- 详细解说了基于噪声自适应模糊选择滤波器的椒盐噪声抑制处理的原理和主要公式-Detailed explanation of the adaptive fuzzy selection filter based on noise and salt and pepper noise suppression processing principles and the main formula
NAFSMedian_Filter
- 基于噪声自适应模糊选择滤波器的椒盐噪声抑制处理的原理解释和主要公式及推导- the adaptive fuzzy selection filter based on noise and salt and pepper noise suppression processing principles and the main formula
Color-image
- noise reduction with fuzzy method for color image
image-enhancement
- 下载并读入被噪音污染的Noisychurch图像数据，用Matlab 编程采用下述方法分 别实现该图像的增强操作： 1） 用空域法实现图像的增强，分别采用如下模板操作：2x2 和3x3 的幅值为1 的模板，比较去噪和模糊的折中效果；采用3x3 的中值滤波器进行去噪操作； 采用Laplacian 模板[0 -1 0 -1 5 -1 0 -1 0]进行锐化操作。 2） 用频域法实现该图像的低通和高通滤波，选择合适的截止频率。 3） 用小波分析法实现该图像的低通和
Fuzzy_Image
- A IEEE Paper for Noise Removal using Fuzzy is solved partially using VHDL, with my understanding the matlab tool is much easy to implement this but i tried and successfully completed, now i am revealing it partially for understanding-A IEEE Paper for
Multi-component-Chirp-estimation
- 提出一种联合循环平稳法与多普勒模糊数搜索法的多分量Chirp信号相位参数精确估计算法，与已有循环平稳算法相比，该算法的相位参数取值范围不受限，低信噪比下的相位参 数估计精度约提高30 dB-Smooth fuzzy numbers and Doppler search method for multi-component the Chirp signal phase parameters the precise estimation algorithm, compared with exis
all
- 图像退化模糊图画加高斯噪声，经中值滤波器后恢复；退化图像经维纳滤波器后恢复。中值滤波，维纳滤波复原图像比较-The image degradation fuzzy picture plus Gaussian noise, and recover after a median filter restore the degraded image by the Wiener filter. Median filtering, Wiener filter restoration image
Genetic-algorithms-
- 本文主要介绍遗传算法的基本理论，叙述遗传算法在图像增强的的主要应用，即将原始图像变得更加清晰，特征变得更加明显。 现今关于图像增强的算法有很多，而这些算法大多是基于退化函数或者点扩展函数的知识进行图像处理的。当图像出现模糊或噪声影响大时，设计出的图像清晰化的效果肯定不够理想，因此有必要对图像进行增强处理。于是，可利用到遗传算法这种成熟稳定的仿生物进化的全局寻优算法，进行图像增强，由于遗传算法控制参数少、自适应度高，将选择该方法对图像退化分别进行不同的清晰化处理. 这样既增强了图像的对比度,又
Remote-Sensing-Image-Processing
- 基于偏微分方程的遥感图像处理方法 利用测试图像对算法进行仿真验证，并与其它图像去噪算法进行去噪效果比较，通过数值对降噪效果进行评估，得出该方法不仅能够去除噪声而且能够很好的保护图像的边缘等细节信息，弥补了高阶非线性扩散去噪方法导致边界模糊的缺陷，提高了遥感图像的质量，改善了视觉效果-Simulation algorithm of remote sensing image processing methods based on partial differential equations usin