资源列表
kmp
- KMP是一种快速字符串匹配算法，KMP算法的时间复杂度为O（m+n）。-KMP string matching algorithm is a fast, KMP algorithm' s time complexity is O (m+ n).
keshe
- 图像法检测编织物经纬密度，读取已获得的需要测量的织物的图像或从计算机上联接的图像获取设备中获得实际图像（提高部分）； 2、对图像进行任意角度旋转，使织物纬线方向呈水平； 3、根据图像质量对对图像进行去噪和对比度增强；-dsdsdfsfsff
a
- 图片转换视频-img to avi.......................................
scene
- 对合成孔径雷达图像原始场景图的打开，BMP文件读取，保存场景参数文件-The original scene of the synthetic aperture radar image map to open, read BMP file, save the scene parameter file
ostu1
- 利用ostu算法实现阈值分割，将灰度图像变为2值图像输出-To use ostu algorithms thresholding the grayscale image into a two-value image output
xiaobobao
- 基于小波包变换的去噪处理 全局阈值去噪图像 对图像进行平滑处理以增强去噪效果（中值滤波）-Denoising based on wavelet packet transform global threshold denoising image smoothing image enhancement and denoising effect (median filtering)
oo
- 直方图添加与去除椒盐噪声和高斯噪声并进行对比，以及直方图均衡化的matlab程序实现代码 -Add the histogram and remove the salt and pepper noise and Gaussian noise and contrast, and histogram equalization matlab program code
image-preprocessing
- 图像预处理程序，由原始图像得到灰度图像，采用阈值法选择出最佳阈值进行图像二值化-Image preprocessing procedure, from the original image to get gray level images, the threshold value method is used to select the best threshold value for image binarization
Nearestneighborhood
- 这种邻域插值的matlab源代码,学生需要可以下载使用-This neighborhood interpolation of matlab source code, students can download to use
The-maximum-entropy-method
- 利用最大熵法求取最优阈值来对目标图像进行分割，程序体现了最优阈值的迭代求法。-To obtain the optimal threshold segmentation of the target image using the maximum entropy method, the program of optimum threshold method.
inverse_re
- 图像运动模糊逆滤波程序，对逆滤波算法实现了matlab编程，并通过一些处理得到了理想结果-The inverse filtering procedure of motion blurred image, the realization of the MATLAB programming inverse filtering algorithm, and the ideal results obtained by some processing
color-moments-of-three-color-spaces
- 图像剪切后，转换为LAB和HSV颜色空间，计算每个颜色通道的颜色矩，最后将所有变量整合到一个矩阵中。-after image cropping, convert the image into LAB nd HSV color space, then computing the color moments of each channel. finally combine this variables into one matrix.