recall_precision

vc++ 数字图象处理 很好用我看了以后收益非浅希望大家喜欢(vc digital image processing with very good after I read greatly benefit hope you like)

K均值图像分割，读入彩色图片，输出区域分割后的图片(K-means image segmentation, read full-color photographs, the output image after the region segmentation)

VisualC++数字图像处理技术详解第2版-光盘 第九章(VisualC++ digital image processing technology Detailed Version 2- CD Chapter IX)

对较真实的运动模糊图像进行恢复，此种运动模糊图像限于水平或垂直的运动模糊图像。 参考文献：Removing Camera Shake from a Single Image ,siggraph06(On the more realistic motion-blurred image restoration, such motion-blurred images limited to horizontal or vertical motion-blurred images. References: Removing Camera Shake from a Single Image, siggraph06)

用于图像拷贝检测的图像匹配，提取图像的SIFT特征点，构成图像的特征。(For image copy detection of image matching, image SIFT feature point extraction, and then sift feature point the image characteristics)

机器视觉,计算机视觉,人脸识别,形态学,图像采集,压缩编码,数字水印,神经网络,人工智能,模式识别,特征提取,图像检索,视频检索,计算机图形学(machine vision, computer vision, face recognition, morphology, image acquisition, compression, digital watermarking, neural network, artificial intelligence, pattern recognition, feature extraction, image retrieval, video retrieval, computer graphics)

关于图像分割的一个代码，最小生成树Prim算法，能够实现相应功能，拿出来与大家共享(Image Segmentation on a code, Prim minimum spanning tree algorithm, can achieve the corresponding functions, and show to share with you)

采用radon变换检测直线，有详细注解，具有抗旋转性(Radon transform line detection, and a detailed explanation, with anti-rotational)

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)

Transferring color to greyscale images的原文及源代码，包括详细的测试图像以及相应的论文及源代码，是学习图像色采转移必看的经典内容。(Transferring color to greyscale images of the original text and source code, including detailed test image and the corresponding papers and source code is studying the image to see the classic color adopted transfer content.)