source_code_TBM_activecontours.tar

说明：  VC++6.0图像处理算法集:图象的几何变换、平滑(去噪声)、锐化、腐蚀、膨胀、细化算法、半影调、抖动、直方图修正、彩色变换、腐蚀，膨胀，细化等算法，并有可执行文件供试用，并附有配套电子收，是图像处理入门的好资料。(VC++ 6.0 image processing algorithms: image geometric transformation, smoothing (to noise), sharpening, corrosion, expansion, thinning algorithm, penumbral tune jitter histogram of the amendment, color conversion, corrosion, swelling, refinement algorithm, etc., as well as executable files for trial, together with supporting electronic collection, image processing is a good data entry.)

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)

说明：  处理geotiff图像文件格式的开源库，含VC工程文件，编译时需tiff库（libtiff）的支持(handling GeoTIFF image file format open source, containing VC engineering documents, compiled take tiff library (libtiff) support)

Pyramid methods in image processing

数字图象处理VC++实现,里面有很多图像处理方面的算法，有参考意义。(Digital image processing in VC++)

研华PCI-1711数据采集卡 AD转换VC++例程(Advantech PCI-1711 data acquisition card AD conversion VC++ Routines)

利用Artoolkit实现了虚拟现实的算法，VS2008下测试通过(Use Artoolkit algorithm to achieve a virtual reality, VS2008 under test)

本程序和实现对一幅包含人脸的bmp图像进行光纤补偿，对人脸区域进行检测实现人眼和人嘴的检测与定位，最后勾绘出人脸的特征以实现人脸检测的目的。(This procedure and implementation of a compensate the fiber contains face of BMP image, the face region detection to realize human eyes and mouth detection and positioning, finally drew out the facial features to achieve the purpose of face detection. )

文章讲述了一种基于多边形的优化排样方法，结合不规则件特征确定了零件排放的最佳位置，给出了排料规则库的设计，通过排料空间的边界组织和边界更新，形成了新的排样空间。 (Article describes a polygon-based layout optimization method combined with irregular parts on characters of the part the best place to discharge given row of the design rule base material, the border by nesting space organization and boundary updates, formed The new layout space.)

基于边缘特征的图像配准算法源码 基于边缘特征的图像配准算法是将不同时间、不同的传感器（成像设备）或不同条件下（天候、照度、摄像位置和角度等）获取的同一场景的两幅或多幅图像根据其边缘特征进行匹配、叠加的处理，最终生成一幅全景图像的方法。该方法具有抗噪性强，匹配速度快，误匹配率低，适用于多种类型的图像等优点，主要可以运用于以下领域： （1）军事研究领域，如飞行器辅助导航系绞、武器投射系统的末制导以及寻地等应用研究； （2）医学图像分析，如数字剪影血管造影DSA血管造影术、肿瘤检测、白内障检测、CT、MRI、 PET、 SPECT图像结构信息融合； （3）模式识别，如特征识别、波形分析、签名证实、目标物运动跟踪、序列图像分析等； （4）计算机视觉，可用于目标定位、自动质量控制等； （5）遥感数据分析，多电磁波段图像信息融合，如多谱段的等场景分类、定位和识别定义好的或已知特征的场景、自然资源监控、核生长监控、市区增长检测等。 本算法实现使用VC++6.0为开发环境，目前只支持灰度图像，感兴趣的朋友可以进一步扩展。(Image registration is a fundamental problem in image processing, which is a process to match two or more images of the same scene taken at different times, from different viewpoints, or by different sensors. Image registration is an important technique for a great variety of applications such as medical image analysis, computer vision, remote image data analysis, image information fusion, and the recovery of the 3–D characteristics of a scene.)