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图象的边沿检测与提取，轮廓跟踪算法代码
- 图像处理程序代码，图像边缘检测与提取，轮廓跟踪算法-image processing code, edge detection and extraction, contour tracking algorithm
图象的边缘检测与提取,轮廓跟踪代码
- 看看,一个图象处理程序哦,挺多功能 图象的边缘检测与提取,轮廓跟踪代码-see an image processing procedures Oh, Ting multifunctional image edge detection and extraction, contour tracking code
边缘检测及轮廓跟踪
- 边缘检测及轮廓跟踪 C程序设计对数字图象进行边缘提取,其中包括了多个常用的算子,还包括了拉氏锐化.-edge detection and tracking C Contour Design of digital images from the edge, which included a number of commonly used operator, Rumsfeld also includes sharpening.
cnn.rar
- canny边缘检测源代码，边缘检测对于图像理解、目标检测、跟踪等问题非常重要，该代码实现了canny算子做边缘检测,source code canny edge detection, edge detection for image understanding, target detection, tracking and other issues is very important that the code to do the canny edge detection operator
shadow.rar
- 基于VC环境的人体边缘检测程序，包括种子填充、轮廓跟踪等算法的实习。,VC-based edge detection in human environmental procedures, including seed filling, the outline of the training algorithm for tracking.
Image.rar
- 图像处理 车辆跟踪 边缘检测 二值化等等 车辆检测 交通流,Image Edge Detection Vehicle Tracking Vehicle Detection binary traffic flow, etc.
EdgeContour
- VC数字图像处理典型算法及实现,完整的源码,主要算法有:Robert 算子,Sobel 算子,Prewitt 算子,Kirsch 算子,Gauss-Laplace 算子实现边缘检测 Hough变换,轮廓提取,轮廓跟踪-VC typical digital image processing algorithm and the realization of the complete source code, the main algorithm are: Robert operator,
edgedetect
- 自己做的关于边缘检测与边界跟踪的matlab程序-Own on the edge of the boundary detection and tracking procedures matlab
Visual C++ for image processing -v2
- 《 Visual C++数字图像处理（第二版）》一书源代码 该书主要讲述如何使用Visual C++进行数字图像处理。全书共11章，分别介绍了图像的点运算、几何变换、正交变换、图像增强、腐蚀算法、膨胀算法、细化算法、边缘检测与提取、轮廓跟踪、图像分析、图像复原和图像的压缩编码技术，对每种常用的数字图像处理方法，本书都提供了完整的源代码。 本书内容丰富，叙述详细，实用性强，适合于数字图像处理工作者阅读参考。- How "Visual C Numeral Picture Processing (Se
eagedetectandfigureoperate
- 图像边缘与轮廓运算包括 // RobertDIB() - robert边缘检测运算 // SobelDIB() - sobel边缘检测运算 // PrewittDIB() - prewitt边缘检测运算 // KirschDIB() - kirsch边缘检测运算 // GaussDIB() - gauss边缘检测运算 // HoughDIB() - 利用Hough变换检测平行直线 // ContourDIB() - 轮廓提取 // Trace
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- 图形分割 边缘检测 轮廓提取 边缘跟踪 种子填充 区域生长等功能-Graphic segmentation edge detection contour extraction of seed filling edge tracking features such as region growing
DigitalImageProcessing4
- 7.1 概述 7.2 边缘检测 7.3 边缘跟踪 4.1 概述 4.2 空域变换增强 4.3 空域滤波增强 4.4 频域增强 4.5 彩色增强 -7.2 Edge Detection 7.1 overview 7.3 Edge tracking 4.1 4.2 Enhanced 4.3 airspace airspace transform filter to enhance the frequency domain 4.4 Enhanced Color Enha
cannyfinal
- 边缘检测对于图像理解、目标检测、跟踪等问题非常重要，该代码实现了canny算子做边缘检测-Edge detection for image understanding, target detection, tracking a very important issue, the code implementation of the canny edge detection operator to do
ImageProcessing
- Hough变换，边缘检测，差影法，轮廓提取与跟踪，模板匹配，投影法，图像复原，阈值分割和种子填充的源码。-Hough transform, edge detection, bad video method, contour extraction and tracking, template matching, projection method, image recovery, threshold segmentation of the source and seed filling.
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- 本程序很好的实现了二值图像的轮廓跟踪，边缘提取和边缘检测-This procedure achieved good binary image of contour tracking, edge detection and edge detection
cannyfinal
- canny边缘检测源代码:边缘检测对于图像理解、目标检测、跟踪等问题非常重要，该代码实现了canny算子做边缘检测-source code canny edge detection: edge detection for image understanding, target detection, tracking and other issues is very important that the code to do the canny edge detection operator
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
95302922tuxiang
- 程序给出了边缘检测及轮廓跟踪的一般方法,其是基于matlab来编写.-Edge detection contour tracking, image processing in a very important edge detection contour tracking algorithm
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
45826
- matlab实现图像的边缘检测和跟踪，可以对对比度较低的图像实现检测(Matlab to achieve the edge detection and tracking of images, you can detect images with lower contrast)