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VC.net_for_image
- 一个VC.net版本的图像处理程序,不同于以往CDib类的处理和存储结构,同时增加了很多形态学以及方向检测的方法,感觉很不错-a VC.net version of the image processing procedures, Unlike the previous CDib kind of processing and storage structure and increased the number of morphological and direction detection me
fenshuiling
- 所谓分水岭算法有好多种实现算法,拓扑学,形态学,浸水模拟和降水模拟等方式。-watershed algorithm called a good variety of algorithms, topology, morphology, soaking simulation and numerical simulation, and so on.
dilationErosion
- 图象形态学的处理方法,里面是膨胀的腐蚀两种方法!-morphological image processing method, which is the expansion of the two methods of corrosion!
imageProgramCode
- 图像 点运算 几何变换 正交变换 形态学变换 -image points Operational geometric transformation orthogonal transformation morphological transformation
cancer-fenxi
- 这是癌细胞形态学分析的程序 图片在里边 测试通过-This the analysis of cell morphology in the process photographs inside the test
ImageProcess222222
- 我做的一个图象处理平台,实现了基本的图象处理算法,如回度变化,形态学运算,边缘检测,阈值分割 -I made an image processing platform, the basic implementation of image processing algorithms, such as to the changes, morphological operations, edge detection, thresholding segmentation etc.
45623541
- 数字图像处理源码,vc写的,包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶 包括源代码、3篇文档和可执行程序 -digital image processing source code, written by the vc, including sharpening, smoothing, LOG filter from the brink of mathematical morphology corrosion, swelling, ske
数字图像处理源码
- 包括锐化、平滑、LOG滤波器提取边缘数学形态学的腐蚀、膨胀、骨架化、开闭运算以及分形方法画树木和树叶 包括源代码、3篇文档和可执行程序 下载地址: 数字图像处理源码 -including sharpening, smoothing, edge extraction LOG filter of mathematical morphology of corrosion, swelling, skeleton, opening and closing operations a
MorphDIB
- 针对一幅处理好的二值图像进行形态学处理得到完整的图像-against a good handle binary image morphology deal with the integrity of the image
morphologic
- 实现数字图像数学形态学处理,包括图像的腐蚀膨胀和细线化。-digital image processing of mathematical morphology, including images of corrosion expansion and thinning.
HumanFace
- 本m文件实现的是正面人脸的提取,基于YCbCr空间肤色区域提取和形态学的处理-this document is the realization of the right face extraction, YCbCr color space based on regional extraction and processing of morphological
caner_cell
- 图像处理中的形态分析,针对癌细胞形态学分析的程序,供研究用-Image Processing Analysis of the morphology, cell morphology analysis against the procedures for research
VisualC++Image
- 读取和显示BMP位图,进行点运算,几何变换,正交变换,图象增强,形态学变换,边缘与轮廓操作,图象分析,图象复原,图象编码等.-read and display bitmap BMP, point operations, geometry transformation, orthogonal transformation, image enhancement, morphological transformation, Edge and profile operation, image analy
faceorientation
- 对静态图像实现脸部的定位与眼睛的定位,基于数学形态学的方法-right static facial images to achieve the position and orientation of the eyes, based on the method of mathematical morphology
VideoObjectSegmentation
- 时空联合的视频对象分割,时域采用多帧帧差,形态学处理和高斯聚类,空域采用小波变换和分水岭变换。时域分割的模板与空域分水岭变换的结果融合得到最终的分割结果。-joint space-time video segmentation, multi-domain when displayed poor handling and morphology Gaussian clustering, airspace wavelet transform and watershed transformation.
xingtaixuetyperec
- 形态学车牌定位,可转灰度图、二值化、梯度锐化、腐蚀、膨胀、定位、截取.-morphology plates, which can turn gray level binary gradient sharpening, corrosion, swelling, positioning and interception.
Soft20060210094429327
- 对256色bmp图像进行处理的程序 包括点运算,几何变换,正交变换,图像增强,形态学变换,边缘与轮廓,图像分析,图像还原,图像编码等内容-pair of 256-color bmp image processing procedures including point operations, geometry transformation, orthogonal transformation, image enhancement, morphological transformatio
vc_pictureprocess
- c++编译的图像处理程序,主要包括:几何变换、滤波、边缘检测、锐化、轮廓提取和边界跟踪、形态学处理-c compiler of image processing procedures, including : geometric transformations, filtering, edge detection, sharpening, contour extraction and border tracking and morphological processing, etc.
gaijinyuzhifenge
- 采用迭代算法,实现了图象分割阈值的最优自动选择,并对处理后的二值图象进行数学形态学操作,是后续图象识别最关键的以一环-using the iterative method, the image segmentation optimal threshold value of the automatic choice, as well as treatment, the two binary images using mathematical morphology operation, is the
morphrecon
- 此程序是关于形态学重构,主要是为了复杂背景条件下的图像分割-this procedure on morphological remodeling is mainly to the conditions under complex background image segmentation