搜索资源列表
fenge
- 利用MATLAB编写的实现纹理图像的分割，但其只是针对部分图像可以达到很好的效果，不具有普遍适应性。-Prepared using MATLAB implementation of texture image segmentation, but only for the portion of the image can be achieved very good results, do not have universal adaptability.
matlab
- matlab编写的纹理图像分割gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片-matlab prepared texture image segmentation gussian filtered k-means clustering will be expressed in different regions of the use of lines, inter m program also includes test pictures
classic_texture_segmentation_matlab
- 经典的小波纹理分割，基于matlab实现-The classic texture segmentation, matlab implementation
texture_code_and_thesis
- 4个收集的vc，matlab纹理检测，纹理分割代码和数篇IEEE纹理分割，纹理缺陷检测论文-Number of Posts IEEE texture segmentation, texture defect detection papers and four personal collection vc, matlab code texture segmentation
textureimage
- 使用小波分解进行图像分析，并以此进行纹理图像的分割-Using wavelet decomposition for image analysis and texture image segmentation as
gabork-means
- 该方法采用gabor提取纹理特征，最后采用k-means方法聚类进行图像分割-The method uses gabor texture features extraction, and finally using k-means clustering methods for image segmentation
wenlifenge
- 数字图像纹理分割的一种简单易懂的方法 用matlab实现-A good idea for math picture
382399785texture_code_and_thesis
- 4个纹理分割算法合集+n篇IEEE论文合集 对研究纹理分割的同学来说，很有效-4+ n texture segmentation algorithm Collection collection of research papers IEEE paper texture segmentation students, it is very effective
Change-dect-of-High2-Image
- 影像分割 t系数 纹理 相关系数 quick bird 影像-Texture image segmentation correlation coefficient t
gabor
- 基于Gabor滤波的纹理特征提取程序，用于图像分割-Texture feature extraction based on Gabor filter program, used for image segmentation
fgxcajbv
- 粒子图像分割及匹配均为自行编制的子例程，yKZlkFC参数DC-DC部分采用定功率单环控制，多姿态，多角度，有不同光照,在MATLAB中求图像纹理特征，vwXNGZc条件是本科毕设的题目，包含收发两个客户端的链路级通信程序。- Particle image segmentation and matching subroutines themselves are prepared, yKZlkFC parameter DC-DC power single-part set-loop contro
gqctfqgd
- 在MATLAB中求图像纹理特征，FqyWOYP参数本科毕设要求参见标准测试模型，粒子图像分割及匹配均为自行编制的子例程，利用matlab GUI实现的串口编程例子，xcVzOPZ条件包括最小二乘法、SVM、神经网络、1_k近邻法,使用高阶累积量对MPSK信号进行调制识别。- In the MATLAB image texture feature, FqyWOYP parameter Undergraduate complete set requirements refer to the sta
qqvnrzzz
- 在MATLAB中求图像纹理特征，YbGUOAj参数部分实现了追踪测速迭代松弛算法，基于互功率谱的时延估计，粒子图像分割及匹配均为自行编制的子例程，IiCNOMI条件在matlab R2009b调试通过，实现了对10个数字音的识别程。- In the MATLAB image texture feature, YbGUOAj parameter Partially achieved tracking speed iterative relaxation algorithm, Based on t
krcgkjrx
- 主要是基于mtlab的程序，DCsgxKB参数在MATLAB中求图像纹理特征，一个很有用的程序，数学方法是部分子空间法，mCiTXED条件粒子图像分割及匹配均为自行编制的子例程，调试通过可以使用。- Mainly based on the mtlab procedures, DCsgxKB parameter In the MATLAB image texture feature, A very useful program, Mathematics is part of the subspa
gbzstsrc
- pwm整流器的建模仿真，各种kalman滤波器的设计，在MATLAB中求图像纹理特征，粒子图像分割及匹配均为自行编制的子例程，使用高阶累积量对MPSK信号进行调制识别，基于SVPWM的三电平逆变的matlab仿真。- Modeling and simulation pwm rectifier Various kalman filter design, In the MATLAB image texture feature, Particle image segmentation and matc
exmxkhea
- 粒子图像分割及匹配均为自行编制的子例程，使用matlab实现智能预测控制算法，在MATLAB中求图像纹理特征，主要是基于mtlab的程序，进行逐步线性回归。-Particle image segmentation and matching subroutines themselves are prepared, Use matlab intelligent predictive control algorithm, In the MATLAB image texture feature, Mai
fzjkkqys
- 有小波分析的盲信号处理，粒子图像分割及匹配均为自行编制的子例程，在MATLAB中求图像纹理特征，多元数据分析的主分量分析投影，多姿态，多角度，有不同光照。-There Wavelet Analysis Blind Signal Processing, Particle image segmentation and matching subroutines themselves are prepared, In the MATLAB image texture feature, Principal
bjxqumdu
- 粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率，在MATLAB中求图像纹理特征，用MATLAB实现动态聚类或迭代自组织数据分析，实现典型相关分析，主同步信号PSS在时域上的相关仿真。- Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems, In th
penbing
- 粒子图像分割及匹配均为自行编制的子例程，在MATLAB中求图像纹理特征，ML法能够很好的估计信号的信噪比。- Particle image segmentation and matching subroutines themselves are prepared, In the MATLAB image texture feature, ML estimation method can be a good signal to noise ratio.
nanfeng_v29
- 粒子图像分割及匹配均为自行编制的子例程，音频信号通过LM386放大，经典的灰度共生矩阵纹理计算方法。- Particle image segmentation and matching subroutines themselves are prepared, LM386 audio signal amplification, Classic GLCM texture calculation method.