搜索资源列表
PWL for 1D
- 1D signal:Identification of PieceWise Linear by multiple regression Detection of homogeneous zone using entropie Projection in the Hough space (1D)
BmpExp
- 图象处理基本算法 包括灰度图象读取与显示,直方图均衡,伪彩色变换,分段线性化-basic image processing algorithms including gray-scale image and read, histogram equalization, the pseudo-color transformation, piecewise-linear
test12-28
- 1．几种灰度变换，分段线性化，平方变换，对数变换，平方根变换等等 2．几种滤波器，中值滤波，均值滤波等等 3．图像分割，边缘检测，轮廓提取，以及SOBEL梯度算子 4．彩色图像，红色通道，绿色通道，蓝色通道 5．图像的几何变换，图像缩放，镜像（水平镜像和垂直镜像） -1. Several gray-scale transformation, piecewise linear, square transform, the number of transformation, an
MCA 形态学成分分析
- 形态学成分分析，该方法的基本思想是利用信号组成成分的形态差异，将图像分割为纹理和分片光滑部分。-Morphological Component Analysis，The basic point is that an image can be divided into texture and piecewise smooth parts by the morphological diversity among signal components.
MS-PiecewiseSmooth
- 分段光滑的MUMFORD--SHAH图像分割算法，MATLAB。实现了图像分割-Piecewise smooth the MUMFORD- SHAH image segmentation algorithm, MATLAB. The realization of the image segmentation
stretch
- 灰度拉伸是分段进行线性变换，对红色，绿色，蓝色三分量进行统一的分段线性变换，以增强图像对比度-Gray-scale stretch is sub-linear transformation of the red, green, blue three-component unified piecewise linear transformation, to enhance the image contrast
jianbensuanfa
- 中值滤波 prewitt算法 直方图均衡化 密度分割法图像伪彩色处理 分段线性处理处理灰度变换-Median filter Prewitt density histogram equalization algorithm segmentation image pseudo-color handle handle handle piecewise linear gray-scale transformation
MATLAB_code_of_image_processing
- 该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫
error2d
- Computes the FE error measured in the L2- and H1-norm for 2D problems. Especially useful for illustrating the error decay of piecewise linear finite elements in the common norms.
Medical-Image-Processing
- 医学图像处理，灰度直方图，分段线性变换，图像增强，图像分割-Medical image processing, histogram, piecewise linear transformation, image enhancement, image segmentation
image0816000108zyf
- 图像的线性变换,分段线性,指数变换,对数变换,幂次变换,图像叠加等.-Image of the linear transformation, piecewise linear, exponential transform, log transformation, a power transform, image overlay and so on.
DIP
- 此代码可对灰度图像进行增强，如二值，反色，对数，指数，分段线性变换等-This code can be enhanced gray-scale images, such as two values, inversion, logarithmic, exponential, piecewise linear transform
demo
- 改代码包含了图像的几何变换，平移旋转，灰度变换，二值化，直方图均衡，图像空域增强，图像频域增强，图像形态学，图像分割，手写数字识别，边界跟踪，区域增长，腐蚀膨胀，低通滤波器，小波变换，直方图分段线性拉伸等等的功能。-Change the code contains images of geometric transformation, translation rotation, gray level transformation, binarization, histogram equaliza
Sub-function-graphic-painting
- 分段函数的图形画法。用matlab画分段函数，并有图形结果，大家可根据需要修改方程-Sub-function graphic painting. Matlab piecewise function with the painting, and graphic results, we can modify equation
summary-homework-2011
- 图像处理源代码：包括梯度图、分裂合并区域分割、数学形态学、各种结构元素的影响、形态学边界、对数变换、分段线性变换、线性变换、二值图像代码 MatLab自编的均值滤波、中值滤波、高斯滤波 图像处理函数。 7-Image processing source code include: the gradient map, splitting and merging, region segmentation, mathematical morphology, structural element,
zengqiang
- 用直接灰度变换方法进行对比度增强，设计分段线性变换函数，做增强处理。-Direct gray-scale transformation method for contrast enhancement, design piecewise linear transformation function, do the enhancement.
g_visual
- 本程序是实现对一个分段表达的测地线活动轮廓模型的边缘函数的可视化显示1.计算分段边缘函数2.显示输出可视化图像 -This program is a visual display to achieve the function of the edge of a piecewise expression of the geodesic active contour model calculation segmented edge function display output visualiz
Image-enhancement
- 图像增强方面的各种滤波算法（灰度线性变化，分段线性灰度变化，对数变化，直方图均衡化，图像平滑，在椒盐、高斯不同的噪声下，实现噪声的中值滤波，图像锐化）-Image enhancement (linear gray-scale changes in the terms of the various filtering algorithm, piecewise linear gray variation, logarithmic histogram equalization, image smoot
Mathworks
- 详细说明： 读入图像，对于图像进行高斯高通以及低通滤波，显示结果，与原图进行对比-Detail: ch5_1_1: image gray-scale linear transformation (5.1.1) ch5_1_2: image grayscale piecewise linear transformation (5.1.1) ch5_1_3: using the transfer function of the number of forms of dynamic range c
Piecewise-Smooth-Surface
- We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surface models from scattered range data. The method can be used in a variety of applications such as reverse engineering — the automatic generation