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算子进行边缘检测
- 用roberts sobel laplacian算子进行边缘检测，附有图片
基于win32api的边缘检测
- win32api程序，超经典，包括sobel、laplacian、hough等，内容丰富-A program about win32api,very cool,include sobel,laplacian,hough,etc. Useful.
ImageProcessing.rar
- 用matlab编写界面，实现直方图均衡化、平均滤波、梯度滤波、Laplacian滤波、Kirsch滤波、Sobel滤波、Prewitt滤波、高频提升等多种功能,Matlab prepared to use interface, the realization of histogram equalization, the average filter, Gradient filter, Laplacian filter, Kirsch filter, Sobel filter, Prewitt f
LRG51.rar
- 实现两种锐化图像输出，要求采用两种梯度算子： （1）Sobel梯度算子（2）拉普拉斯算子：,The realization of two types of sharpening the image output request using two gradient operator: (1) Sobel gradient operator (2) Laplacian:
200432590139.rar
- 各种基本图像处理功能：1、格式转换：将RAW格式转换成BMP格式；2、线性变换；3、图像平滑；4、图像增强；5、边缘检测：梯度算子，Robert梯度算子，Prewitt算子，Laplacian算子，Sobel算子，Marr算子；6、直方图显示；7、形态运算（二值化、腐蚀、膨胀、开运算、闭运算）；8、自动分类及类别提取：K均值分类。其中：1.2.3.4.5.7仅能对灰度图处理，6.8不仅能处理灰度图还能处理彩色图,Basic image processing functions: 1, forma
edge_detection.rar
- this file contains the codes to obtain edge detection.Either the "edge"function can be used to directly obtain the edge detection by using the selected derivative estimators.(like-canny,sobel.)or the direct code for SOBEL(gradient method)and LAPLACIA
sharpen
- 数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 -Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise.
SHARP
- 锐化处理技术来加强图像的目标边界和图像细节，对图像进行梯度算子、拉普拉斯算子、Sobel算子设计，使图像的某些特征（如边缘、轮廓等）得以进一步的增强及突出-Sharpen the image processing techniques to enhance the objectives of the border and image detail, image gradient operator, Laplacian, Sobel operator design, some features o
edgedetect
- 边缘检测VC实现了 Roberts算子、 Sobel算子和 Laplacian算子．实验分析了各个算子的边缘检测-edge detection
ImageSegmentation
- 分别用sobel、Laplacian-Gaussian方法对一幅灰度图像进行边缘提取,给出对比结果.-Respectively sobel, Laplacian-Gaussian method of gray an image edge extraction, given the results compared.
data
- Smooth Linear filter Median filter Laplacian Unsharp masking Sobel filter
EdgeContour
- 边缘检测包括：Roberts边缘算子，Sobel边缘检测算子，Kirsch边缘检测算子，拉普拉斯算子，高斯拉普拉斯算子。霍夫变换，种子填充，轮廓跟踪和轮廓提取。-Edge detection, including: Roberts edge operator, Sobel edge detection operator, Kirsch edge detection operator, Laplacian, Laplacian of Gaussian. Hough transform, seed
ClassDesign
- 设计了一个图像处理的类，有sobel、Laplacian等边缘检测算法的实现，还有FFT、理想高通、低通滤波器、巴特沃斯滤波器的实现-Designed a type of image processing, a sobel, Laplacian edge detection algorithm such as the realization, as well as FFT, the ideal high-pass, low pass filter, Butterworth filter to a
imagesegmentation
- 1.边缘检测，分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取，并给出对比结果； 2.灰度阈值分割：利用双峰法对一幅灰度图像进行灰度分割处理。-1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold
myIPC
- BMP图像打开，二值化，形态学处理（膨胀，腐蚀，开，闭，二值边界提取），边缘提取（Roberts，sobel，laplacian，prewitt，laplacian of gaussian算子）-BMP images open, binarization, morphology processing (expansion, corrosion, open, closed, two-valued edge extraction), edge extraction (Roberts, sobel,
smagic
- 图像处理综合例子，提供的功能主要有： (1) 打开,显示,保存(另存),打印包括bmp,jpg,tif,gif,tga,pcx,png,psd等在内的各种常用图像 (2) 可以对图像实现放大/缩小观看,并可显示其直方图(态度,红,蓝,绿四通道) (3) 点运算:图像格式转换,阈值变换,窗口变换,灰度拉伸,态度均衡 (4) 几何变换:平移,转置,缩放,旋转,水平镜像,垂直镜像 (5) 正交变换:傅立叶,离散余弦,沃什,霍特林等 (6) 图像增强:图像平滑,中值滤波,梯
Edge-Detection
- vc++实现六种图像边缘检测算法对比。包括：kirsch,Laplacian,LOG,Prewitt,Robert,Sobel.-vc++ to achieve the six contrast image edge detection algorithm. Including: kirsch, Laplacian, LOG, Prewitt, Robert, Sobel.
image-sharpening
- 使用Sobel算子、Laplacian算子对图像进行锐化-Using the Sobel operator, Laplacian operator for image sharpening
Image-segmentation
- 1. 分别用sobel、Laplacian-Gaussian方法对一幅灰度图像进行边缘提取，给出对比结果； 2. 利用双峰法对一幅灰度图像进行灰度分割处理。-Respectively with sobel, Laplacian-Gaussian method on a gray-scale image edge extraction, comparison results are given bimodal method gray on a gray-scale image segment
image process
- 基础图像预处理的代码实现，均值/中值滤波，sobel/拉普拉斯/canny 提取边缘，直方图均衡化以及直方图规定化(Fundamental image preprocessing code implementation, mean/median filtering, sobel/Laplacian/canny extraction edges, histogram equalization, and histogram specification)