The latest image processing algorithm written in C, high speed computing

边界方向的直方图统计。采用canny算法实现。 测试图片说明：（图像路径名请在main函数中AnsiString name="1.bmp" 中设定) 1.bmp、2.bmp用来测试尺度变换后图像的识别； 3.bmp、4.bmp用来测试尺度变换后图像的识别； 2.bmp、2_shift.bmp用来测试平移后图像的识别。 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 运行后文件夹应该有Image1.bmp,Image2.bmp,Image3.bmp,Image4.bmp； 实现输出灰度图、平滑图、边缘图以及双阈值处理后的边缘图； 边界直方图数据和归一化后直方图数据分别保存在histogram.txt和NormalHistogram.txt中。-Border direction histogram statistics. Canny algorithm used. Testing Photo caption: (image path name in the main function AnsiString name = 1.bmp set) 1.bmp, 2.bmp used to test scaling image identification 3.bmp, 4.bmp used to test After scaling the image identification 2.bmp, 2_shift.bmp used to test post-translational image recognition. Realize the output grayscale, smooth map, edge map, as well as dual-threshold edge map after the treatment running folder should have Image1.bmp, Image2.bmp, Image3.bmp, Image4.bmp realize grayscale output, smooth map, edge map, as well as dual-threshold edge map after the treatment border histogram data an

算法特点： (1)可检测低对比度直线(可根据感兴趣问题的边缘强度调整)； (2)编程接口简单，集成移植非常容易，算法可输出图像中每条直线的起点、终点、斜率等参数； (3)程序代码完全工程化设计，对320×240图像的处理速度可达15帧/秒； 测试方法： 在安装有USB CMOS摄像头的计算机上直接运行本程序即可看到实时检测直线的处理效果(采用不同颜色表示不同方向的直线)。 (可用于立体视觉、摄像机标定、人体运动分析、智能交通道路检测、工业生产监测等) -Algorithm features: (1) can detect low-contrast line (which can be the basis of issues of interest to adjust the edge intensity) (2) The programming interface is simple, very easy to transplant integration, the algorithm can output images in a straight line for each starting point, the end of the slope and other parameters (3) code fully engineered design, on the 320 ⊙ 240 image processing speeds of up to 15 frames/s testing methods: in the installation of USB CMOS camera has a computer running the program directly to see real-time Detection of linear treatment effect (using different colors in different directions that a straight line). (Can be used for stereo vision, camera calibration, human motion analysis, intelligent traffic detection,

关于图象处理的一个开发包,希望对大家有帮助-image processing on a development kits, we hope to help

该源码是spiht多集树集合编码算法的图像编码，-The source tree is a collection of episodes SPIHT coding algorithm image coding,

canny算子的matlab源码，可以学习canny算子的详细实现过程-canny operator matlab source, canny operator can learn to realize the process of detailed

一个完整的程序,可运行,包含了图象处理的很多操作.适合初学者形象的了解图象处理的基本原理.需要的可以下载.-A complete procedure to run, contains a lot of image processing operations. Suitable for beginners to understand the image of the basic principles of image processing. What is needed can be downloaded.

Horn Schunk 的论文 Lucas kanade的论文-Horn Schunk s paper Lucas kanade s paper

边缘检测及轮廓跟踪的VC程序，学习图像处理的好帮手，能进行二次开发-Edge detection and contour tracing the VC process, learning a good helper image processing can also conduct secondary development

图像阈值分割是图像理解的关键一步，做好了阈值分割，才能更好的实现图像特征提取和特征匹配。-Image Threshold Segmentation is a key step in image understanding, good threshold segmentation in order to better realize image feature extraction and feature matching.

本系统实现的是完成多光谱的tm图象与spot全色图象的融合处理,最终得到的是一幅新图象. 主要的操作主要是多光谱的tm图象的导入,spot全色图象的导入,多光谱的tm图象stop全色图象的显示,融合算法的选择处理,融合结果图象的显示