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fushi-pengzhang-xihua
- 是腐蚀，膨胀，细化算法命令行编译过程如下vcvars32rc bmp.rccl morph.c bmp.res user32.lib gdi32.lib注意事项：运行时，文件c:\test.bmp必须存在-Is the erosion, dilation, thinning algorithm command-line compiler as follows vcvars32 rc bmp.rc cl morph.c bmp.res user32.lib gdi32.lib Note: run-
imerode
- 使用imerode函数对二值图像进行膨胀、腐蚀操作，代码经试验可正常运行。-Use imerode function binary image dilation, erosion operation, the code can be tested to normal operation.
xtx
- 对二值图像采用腐蚀和膨胀的形态学算法处理-The binary image using morphological erosion and dilation algorithm processing
Morphological-image-processing
- 包含图像形态学处理的若干程序，包括二值/灰度图像的腐蚀，膨胀，开闭运算，击中击不中变换，骨架提取等。-Contains a number of morphological image processing procedures, including binary/grayscale image erosion, dilation, opening and closing operation, hit-miss transform, skeleton extraction.
cximage702_full
- CxImage7.01源代码，CxImage与Windows、MFC支持极好，支持图像的多种操作（线性滤波、中值滤波、直方图操作、旋转缩放、区域选取、阈值处理、膨胀腐蚀、alpha混合等等）-CxImage7.01 source code, CxImage with Windows, MFC supports excellent image support multiple operating (linear filtering, median filtering, histogram oper
DilationErosion
- 图像处理Dilation / Erosion / Otus-Dilation/Erosion/Otus
tuxiangchuli
- 这是多个matlab源程序，主要功能是灰度图像和二值图像进行腐蚀和膨胀；dwt水印程序，猫脸变换程序。-This is a matlab source, the main function is to grayscale and binary image erosion and dilation
morphological-transformation
- 图像处理程序，形态学变换，可实现腐蚀，膨胀，开运算，闭运算，细化等操作-Image processing program, morphological transformation, enabling erosion, dilation, opening operation and closing operation, refining and other operations
ques11
- Write MATLAB code that will do the following. (a) NOT, AND, OR, NOR, NAND, XOR operation. (b) Image dilation and erosion (binary and gray image). (c) Image closing and opening (binary and gray image). (d) Boundary detection. (e) Image thinn
erode-and-dilate
- 自己编写的形态学滤波预处理指纹图像matlab编程，包括n*n二值腐蚀、膨胀、开、闭操作。-I have written a fingerprint image preprocessing morphological filtering matlab programming, including n* n binary erosion, dilation, opening and closing operation.
affine_optical_flow
- 仿射（或一阶）光流模型有6个参数，描述图像平移，放大，旋转及剪切。类affine_optical_flow提供方法利用两帧图像序列来估计这些参数。-An affine (or first-order) optic flow model has 6 parameters, describing image translation, dilation, rotation and shear. The class affine_flow provides methods to estimates th
Target-Detection
- 主要介绍了基于天空背景下的目标检测 主要是应用图像形态学的 腐蚀和膨胀进行开运算和闭运算-Introduces the next target detection based on sky background image is the application of erosion and dilation morphological opening operation and closing operation performed
bwcut
- 用形态学操作剪除毛刺（毛刺像素不要过大）。 描述：输入X是一个二值图像，n是预估的毛刺像素长度输出和X相同大小的去毛刺图像。方法就是形态学操作，膨胀腐蚀再和原图像做交-Morphological operations to cut off burrs (burr pixels not too big). Descr iption: The input is a binary image X, n is an image projected deburring burr length of t
M-C_by_Johan_Clausen
- 摩尔库伦模型abaqus umat子程序 有5个参数输入E nu coh friction dilation-mohr coulomb model umat,user need input E nu coh friction dilation
morphology
- C# 实现功能：数学形态学图像处理 包括：图像腐蚀运算 图像膨胀运算 图像开运算与闭运算 击中与不中变换-C# function: morphological image processing including: image erosion image dilation opening operation and close operation hit and does not transform
morphological
- 图像的腐蚀、膨胀、开、闭运算。用菱形算子进行。-Image of erosion, dilation, opening and closing operation
Grayscale-Morpholog
- 传统高原鼠兔图像边缘检测方法存在对噪声敏感、大量边缘细节被过滤、检测的边缘不连续、模糊等问题。为此，将基于数学形 态学的边缘检测方法应用到高原鼠兔图像的边缘检测中。利用数学形态学的腐蚀和膨胀算法，构造适合高原鼠兔图像几何性质的结构元素， 对图像进行检测。实验结果表明，该方法具有较好的边缘检测效果-Traditional plateau pika image edge detection methods exist sensitive to noise, a lot of edge det
morphological-operation
- 对图像进行形态学操作，腐蚀，膨胀，开闭-Image morphological operations, erosion, dilation, opening and closing. .
edge_detection
- 本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测-This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG o
matlab5
- 初步版本，没有写成通用函数形式，程序中也没什么说明 实验内容 编制通用的二值形态学运算（腐蚀和膨胀、开、闭和击中击不中变换）函数； 函数可以处理不同的变换形式和不同类型-Preliminary version, written in generic form does not function, the program is also no descr iption of the experimental content preparation of a universa