分别讨论了位图及图像类的概念、图像获取、图像增强、图像复原、正交变换、压缩编码、图像配准、运动检测、特征提取、图像分割及识别的相关知识，基本涵概了从图像获取到图像处理的各个领域，并结合Microsoft公司面向对象的可视化集成编程系统Visual C++，给出了相应的算法和完整的源代码。 -discussed a bitmap image and the concept of class, image acquisition, image enhancement, image restora

一个音乐信息检索领域的工具包，支持例如节奏，音色，旋律，情感等多层音频特征的提取以及可视化-MIRtoolbox has been developed within the context of a Europeen Project called “Tuning the Brain for Music”, funded by the NEST (New and Emerging Science and Technology) program of the European Commi

PCL课本全章源码的，包含I/O,kd-tree,八叉树，可视化，滤波，深度图像，关键点。采样一致性算法，点云特征描述与提取，点云配准，点云分割，点云曲面重建-the code of book“Point Cloud Library”

图像目标的特征图.py 特征图可视化 feature_map = upsample(feature_map)