搜索资源列表
Image-processing-of-refining-crude
- VC中通过对图像的粗化细化，进一步熟悉和掌握在VC中对图像进行相关处理的方法。-VC by coarsening the image refinement, more familiar and master in the VC in the associated image processing methods.
xihua3
- 细化算法C语言实现，图像模式识别，特别是结构特征识别，预处理中的必须步骤-Thinning algorithm, C language, image pattern recognition, especially the structure recognition, the pretreatment step must be
VCPP-ImageProcess
- 代码实现对bmp图像的各种处理，包括：3种平滑处理、3种锐化处理、边缘增强（垂直、水平，东、南、西、北，东北，西北，东南，西南，和3种拉普拉斯方法），5种边缘检测的方法，中值滤波去噪，艺术效果（油画、浮雕），快速傅里叶变换，余弦变换，沃尔什—哈大吗变换，腐蚀膨胀，开闭操作，边缘提取，细化等功能。不错的VC++数字图像处理的代码，值得一看！-Bmp image code on a variety of processing, including: three kinds of smoothing,
Thinning-algorithm
- 关于图形的细化算法。注意，本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。-Thinning algorithm on the graph. Note that this procedure should be used in the refinement algorithm with binary images of black and white lines can be seen fine results.
thinning
- 一些二值图像的细化算法和源程序代码，很有用哦-Some binary image thinning algorithm and source code, very useful oh
FPPreprocess
- 指纹图像预处理平台，包含方向场提取、分割、增强、二值化、细化等主要处理步骤。-Fingerprint image preprocessing platform, including orientation extraction, segmentation, enhancement, binarization, thinning and other major processing steps.
SampleDemo
- 指纹模式识别预处理演示（特征点获取） 包括梯度方向场确认 图像分割二值化细化处理 标记特征点演示-Fingerprint pattern recognition preprocessing Demo (feature points to obtain), including the direction of field gradient confirmed the binary segmentation of feature points marked thinning demonstrat
FingerPrint
- 指纹图像处理，细化，锐化，二值化，特征点的提取。-Fingerprint image processing, refining, sharpening, binarization, feature point extraction.
three-method-for-image-process
- 三种图像处理的代码 包括边缘检测与提取，模板匹配，图像腐蚀膨胀细化。-The code includes three types of image processing edge detection and extraction, template matching, image thinning corrosion expansion.
erzhihuaxihua
- 一种C++shixian的二值化图像的细化程序，效果还行，欢迎下载。-A C++ shixian the binary image of the refinement process, the results were OK, welcome to download.
thinning
- 本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。-Thinning algorithm of this procedure to be applied to the line containing only black and white binary image thinning effect can be seen.
xihua
- 采用索引表细化算法，对图像进行细化处理，用于图像的骨架提取，附加一个霍夫变换检测直线-Thinning algorithm using an index table, refine the image processing for image skeleton extraction, attach a Hough transform line detection
Wavelet
- 传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提
MARK Dehaze
- 2009年CVPR最佳论文《Single image haze removal using dark channel prior》暗原色图像去雾的算法实现。与原文不同的是本程序没有完成最后matting细化效果的部分，但仍能够达到视觉上可以接受的去雾效果。计算机视觉课程作业。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-CVPR 2009 Best Paper " Single image haze removal using d
chap11
- 基于神经网络的文字识别系统，关键技术：灰度化，二值化、图像缩放、细化、平滑等，最后还用了神经网络对提取到的数字信息进行分析判断。-Neural network based character recognition system, key technologies: grayscale, binary, image scaling, thinning, smoothing, and finally extracted with a neural network to analyze digita
Refinement-method
- 有的指纹细化方法还存在细化不彻底、细化后的纹线不是单像素的问题，要快速高效的做好指纹细化，快速细化：先判断出待细化图像中指纹纹线的边界点，然后逐步将指纹纹线的边界点删除，得到快速细化图像-Refinement method, there are some fingerprints is not completely refined, refined the ridge is not a single pixel of the problem, do a quick and efficient f
jizhong_jibuzhong
- 几种图像分割的程序,主要包括（1）击中与击不中（2）骨架与细化（3）使用顶帽变换（4）使用重构删除复杂图片的背景（5）重构-some program of image segment
systemgenerator_matlab_
- 指纹识别，包括指纹图像的增强，均衡，纹线的的细化，特征点的提取-Fingerprint identification, including fingerprint image enhancement, balanced, grain refinement of the line, feature point extraction
Vehicle-Type
- ：提出了一种在固定摄像头拍摄的车辆图像序列中检测出运动车辆并识别其车辆类型的系统结构和基 于Sobel 边缘细化提取车型特征的新方法-: A shot in the fixed-camera image sequences to detect vehicles moving vehicles and identify the type of vehicle architecture and models based on Sobel edge extracting detailed char
Morph
- 用Visual C++实现基于数学形态学的数字图像处理,包括二值图像的腐蚀,膨胀,开,闭,细化及中轴变换等运算.-Visual C++ using mathematical morphology-based digital image processing, including binary image erosion and dilation, opening, closing, thinning, and the central axis transform operations.