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
2202341311301152
- 在灰度变换里涉及到灰度变换处理，窗口变换处理，分段线性变换处理，灰度分析均衡化处理，灰度匹配处理；投影法中涉及到水平投影和纯直投影；直方图显示中涉及到原图直方图，变换后直方图，及其R、G、B直方图统计等，是入门的不错的选择，值得-in gray transform Lane involving gray transform, the window transform, piecewise linear transformation, Analysis of gray balance, match
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
tuxiang
- 图象灰度变换，灰度BMP文件对灰度进行处理，线性灰度变换，分段线性变换-Image gray-scale transformation, gray on gray-scale BMP file processing, linear gray-scale transformation, piecewise linear transformation
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
chap05
- ch5_1_1： 图像灰度线性变换 （§5.1.1） ch5_1_2： 图像灰度分段线性变换 （§ 5.1.1） ch5_1_3： 采用对数形式的变换函数进行动态范围压缩 （§5.1.1） ch5_1_4： 图像直方图的均衡化 （§5.1.2） ch5_1_5： 直方图规定化 （§5.1.2） -ch5_1_1: image linear transformation (§ 5.1.1) ch5_1_2: piecewise linear image transform (§
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
MyDIP4
- 显示一幅图像 然后对图像进行对比度拉伸 增大图像的对比度 以达到更好的视觉效果-piecewise linear transformation
BMPOP
- bmp图像数字处理；图像信息的统计：直方图，最大最小灰度，熵，方差，平均灰度；灰度变换：分段线性变换，阈值，直方图的均衡化；中值滤波（加噪声），梯度算子；数字卷积，增加一个过滤类；几何变换：旋转，几何校正 -bmp image digital processing image information of the statistics: histogram, max-min gray, entropy, variance, average gray gray-scale transfor
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
CAGD_B_Spline_3
- B样条曲线的MFC实现，包括准均匀、非均匀、分段bezier及相关的基函数。-B-spline curve MFC implementation, including quasi-uniform, non-uniform, piecewise bezier and associated basis functions.
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
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