搜索资源列表
QuickImage
- 这是我师兄Yu Jingtao写的一个非常完整的图像处理方面的源程序,界面类似于acdsee,可对图像进行缩放、剪切。能够处理jpg、tif、bmp等格式图像。各类处理方法是作者在学习中的累积,包括平滑、模糊、边缘锐化、傅立叶变换、腐蚀、膨胀等,有些内容与那个常用的vc图像处理程序相似,但也有很多不同的地方。-This what I saw Yu Jingtao write a very complete image processing of the source, interface Con
FuzzyEdge
- 基于数学形态学的模糊边缘检测算法,及相关的开闭运算等-based on mathematical morphology of the fuzzy edge detection algorithms, and related opening and closing, etc.
CXIMAGE_SRC.ZIP
- Windows下图象处理。可读取/保存常见的多种图象格式,如bmp,jpg,jpeg,png,pcx,tif,tga,gif,wmf,emf,wbmp,可做常规的图象处理,如缩放,裁减,翻转,镜像,旋转,柔化,锐化,亮度,对比度,模糊,伪彩,浮雕,边缘检测,中值滤波,不同图片的颜色通道分离,合并,gamma,fft变换处理等,有多文档窗口的demo程序,demo本身就能算是个功能完善的图象处理工具,能够学到很多图象处理知识。-Windows image processing. Reads / p
X.bmp
- 1. 对给定灰度图(或自选图)进行模糊变换,建立模糊平面。给出变换方法和结果。 2. 对图像做模糊增强。给出原理方法和试验结果。 3. 对增强后的结果图做平滑处理。给出所选平滑因子和结果图。 4. 对图像进行模糊边缘检测,说明实现步骤,给出结果图。 -1. Right to set the gray level (or on-demand) of the fuzzy transformation, fuzzy plane. Given transform methods and
2007638574033771
- 快速模糊边缘检测算法. Pa l. King 算法分析-fast fuzzy edge detection algorithm. Pa l. King algorithm analysis
A0357
- 一套完整的图像处理与识别的源码(全中文注释) 这是我们内部开发与使用的一套图像处理代码,里面包括了大部分图像处理与识别处理的的函数:像模板变换,图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等,等等,太多了。可以用于windows软件或嵌入式软件编程。内部用的,全中文注释,为了下载我才拿出来的。你们自己看着办吧。-a comp
clustering.rar
- 图像分割算法之间的比较,比较前沿的放发,利用了kmeans和模糊K均值,Between the image segmentation algorithm compares the release cutting-edge hair, use a K-means and fuzzy kmeans
EdgeDetection
- 边缘检测1.制作一张包括色块、线条的单色背景图片,先对其作低通滤波产生一幅色块和线条边缘模糊的降质图片待处理,采用任意二种边缘检测算法检测待处理图片中的色块和线条的边缘,得到二值化的处理结果图。从结果图中提取色块和线条的边界坐标值,与实际生成原始图像时采用的真实坐标数据作比较,对产生的检测误差作分析。2.拍摄一张包含待检测物体的黑白或者彩色照片,试采用一种边缘检测的算法做待检测物体的自动提取,对生成的结果作分析。-Edge Detection 1. To produce a including
byjc
- 对于一些图像来说,常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题,有两种解决方法:将图像方差标准化,拉大模糊边缘的梯度值,或通过设置sigmoid函数,将像素所在区域的信息传递到梯度值中去,对其进行调整,就能找到合适阈值,有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not
fuzzyedge
- 此程序实现了模糊增强实现图像的边缘检测,利用模糊方法结合边缘检测实现边缘点的提取。-Realize this procedure to enhance implementation of fuzzy image edge detection, the use of fuzzy edge detection methods achieve the extraction of edge points.
fuzzyedge
- 该软件为本人自己开发的模糊集图像边缘检测,同时还有sobel、prewitt、robert、算子,很好用-The software developed for my own fuzzy image edge detection, as well sobel, prewitt, robert, operator, well used
fcm
- 模糊C均值聚类算法处理的图像分割,模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
inverse_winer_filter
- 对图像进行模糊处理,用逆滤波和维纳滤波恢复图像,也是实验时自己编写的代码,请多指教。-Fuzzy image processing, inverse filtering and Wiener filter to restore the image, but also experiments have written code, like him Zhijiao.
FuzzyPretreatment.m
- 本程序实现对图像的增强,通过模糊增强算法,使图像的边缘信息更加明显,图像出来,能够更好的处理高频信息-This procedure to achieve an image enhancement, through the fuzzy enhancement algorithm, so that the edge of the image information more clearly, the image out, better able to deal with high-frequency
fastcheck
- 一种改进的快速模糊边缘检测算法 能够快速有效地提取二维图像数据边缘-An Improved Fast fuzzy edge detection algorithm to quickly and effectively extract the edge of two-dimensional image data
color-image-edge-detection
- VC++结合OpenCV图像处理程序,处理RGB彩色图像,可以实现精确边缘或模糊边缘检测-VC++ with OpenCV image-processing procedures to deal with RGB color images can be precise or fuzzy edge detection, edge
Fuzzy-edge-detection
- edge detection with fuzzy that modify by Reza Maleki. it can delete some noise and blonder in edge detection.it is more use full than canny and other Matlab codes.
edge
- 本算法可以用模糊集合的方法实现图像的边缘检测,经实验,该算法能够检测图像的细节信息-The algorithm can be used fuzzy set method of image edge detection, the experiment, the algorithm is able to detect the image details
Fuzzy-image-sharpening
- 模糊图像清晰化.让模糊的图像变得清晰化,包括边缘的模糊,焦距对不准,重影等-Fuzzy image sharpening,Let the fuzzy images become clearer, including fuzzy edge, the focal length is not allowed to, ghosting, etc
fuzzy-edge-detect
- 使用模糊增强的方法实现了图像的边缘检测功能-Fuzzy image enhancement methods to achieve the edge detection function