搜索资源列表
picureProcess
- 一个运用vs和opencv实现对图像一些基本的处理（如灰度直方图，灰度纯属变换，灰度拉伸，几何变换，图像的增强如简单平滑和高斯平滑中值滤波sobel连续细化等）的小程序。-And a use vs opencv achieve some basic image processing (such as histogram, gray purely transformation, gray stretch, geometric transformation, image enhancement, s
thin
- 对摄像机采集到的条纹图像进行二值化、细化等操作-The image collected by the camera to carry out the two values of the fringe image, thinning and other operations
Batch-processing-images
- 用matlab对批量图像进行灰度处理，中值滤波，变为二值图像，细化后进行保存-Use matlab for batch image gradation processing, median filtering, into binary image, save it after thinning
vessel
- vessal extraction i mage processing, graysacle, thinning, thining process in image processing -vessal extraction in image processing, graysacle, thinning, thining process in image processing
DynSplitView3
- 图像细化可以根据击中或击不中变换来定义，粗化是细化的形态学对偶。-Image thinning can be defined in terms of hit-or-miss transform, crude is the detailed morphological duality.
task_classic
- 1. 程序功能 1.1打开图像功能 1.2对图像进行直方图均衡化操作，输出进行直方图均衡化前后的信息，输出进行直方图均衡化操作后的图像，可以保存直方图均衡化后的图像。 1.3对图像进行平滑操作，输出平滑操作后的的图像，可以保存平滑操作后的的图像。 1.4对图像进行细化操作，输出细化操作后的的图像，可以保存细化操作后的的图像。 1.5对图像进行中值滤波操作，输出中值滤波操作后的的图像，可以保存中值滤波操作后的的图像。 1.6可以对原始输入图像进行放大一倍或缩小一倍操作。
ImageAnalyse
- 图像特征分析实例，包括轮廓跟踪、边界检测、消除小洞、计算形心、计算不变矩、细化算法等。-Examples include image feature analysis, contour tracking, edge detection and elimination of small hole, calculate the centroid, moment invariants, thinning calculation.
zhang
- 这是一种图像细化的方法，结合opencv插件利用VS对图像进行细化-This is a method of image thinning, combined with the use of OpenCV plug-in VS image thinning
thinImage
- 二值图像的骨干化处理，能够不改变原有图像的形状特征将其进行细化。代码中白色像素点为被细化的像素点。-Using Thinning skeleton,the skeleton of binary image can be well extracted . srcimage isinput image, where the white pixels is the feature to be refined.
S.Watanabe-Deutsch
- 利用S.Watanabe算法进行二值化操作，利用Deutsch算子进行图像细化操作-S.Watanabe algorithm using the binarization operation by the image thinning operator Deutsch operation
tuxiangxihua
- 利用MATLAB进行图像细化和骨架提取，程序较为简单，适用于最好为白底黑字的字符等(Using MATLAB for image thinning and skeleton extraction)
实验报告7-马杰民1030514432
- 1. 在GUI中，实现图像的阈值分割（交互式、迭代法）、区域生长。 2. 在GUI中，，实现二值图像的膨胀、腐蚀, 比较'结构元素类型为：square,line, diamond, disk等的区别。 3. 在GUI中，实现二值图像的开运算、闭运算。 4. 在GUI中，实现二值图像的形态学应用： 边界抽取 (boundary extraction) 区域填充 (region filling) 细化 (thinning) 粗化 (thickening) 骨架 (skeletons) 修剪 (pr
指纹识别matlab源代码
- 代码流程包含：规格化，图像分割，图像平滑滤波，图像增强，图像二值化，图像细化，提取特征，指纹识别(The code includes image normalization, image segmentation, image smoothing and filtering, image enhancement, image binaryzation, image thinning, feature extraction, and fingerprint identification.)
ImageProcess_vs2015
- 代码来自《精通Visual C++图像处理编程(第3版)》附盘，笔者作了一点代码补充和修改，移植到 win10 - vs2015 平台，编译运行成功。 图像处理主要功能：平滑(&F)，锐化，边缘增强，边缘检测，中值滤波去噪，浮雕，油画，快速傅立叶变换，余弦变换，沃尔什-哈达玛变换，腐蚀，膨胀，开运算，闭运算，边缘提取，细化等。(Code from the "proficient in Visual C++ image processing programming (Third
imageCorrection
- matlab图像处理，读入图片二值化，并进行细化图像(MATLAB image processing, read into the picture two values, and thinning images)
二值化与细化
- 用于图像的二值化和细化 可以将图像的轮廓清晰的表现出来(For the two value of the image and thinning, the outline of the image can be clearly displayed)
Edge-Detection-master
- This project is about detecting edges using canny edge detector. The canny edge detector is implemented from scratch using c++. Steps involved in creating a canny edge detector: STEP 1: smoothen the image using gaussian blur. STEP 2: Use differential
matlab指纹特征提取[1]
- 实现指纹图像的细化。 实现指纹图像的特征点提取。 实现特征图像的细化去伪。 编写代码实现上述功能。(The thinning of the fingerprint image is realized. The feature point extraction of fingerprint image is realized. To realize the refinement of the feature image. Write the code to implement t
指纹识别
- 指纹图像基于小波变换的各种处理进行了分析、总结。图像处理包括基于小波变换的指纹图像滤波处理和基于小波的指纹图像增强处理。同时介绍指纹图像的预处理：目的是去除指纹图像中的噪音，将其转化为一幅清晰的点线图，便于提取正确的指纹特征。它分四步进行，即灰度滤波、二值化、二值去噪、细化。(The fingerprint image is analyzed and summed up based on the various processing of wavelet transform. Image pro
opencv_Image
- 很大很全的图像处理算法，包括二值化、图像细化、直线检测、直线交点识别等(Large and very full image processing algorithms, including two values, image thinning, straight line detection, line intersection recognition, etc.)