资源列表
C#图像处理算法典型实例
- 图像处理:灰度,线性点运算,直方图,图像缩放,腐蚀结构元素,带通滤波,噪声模型等图像处理算法，包括素材和源代码。(Image processing: gray level, linear point operation, histogram, image scaling, corrosion structure elements, band pass filter, noise model and other image processing algorithms, including mate
10bitTo16
- 10位图像数据格式转16位图像数据的源码，-10-bit image data transfer 16-bit image data of the source
manp
- 智能图像处理技术的总结性理论.在国内比较全,比较新的了.送给需要的人.-Summary of intelligent image processing theory. In the Mainland and the whole, relatively new to the. Given to people in need.
VisualTracking
- 视觉跟踪算法+pelco-d云台调度, 视觉跟踪算法+pelco-d云台调度- U89C6 u8C0 u8EF0 u8EF0 u8EF3 u8C0 U8DDF u8E2A u7B97 u6CD5+pelco-d u4E91 u53F0 u8C03 u5EA6
zhinengtuxiangchlijishu
- 智能图像处理技术 很好用的工具书 值得下载-Intelligent image processing tool used well worth downloading. . .
TuXiangShu
- 本书主要论述了智能图像处理技术,系统介绍了智能图像处理技术的有代表性的思想、算法与应用，跟踪了图像处理技术的发展前沿。全书共分为15章，重点讨论了图像边缘检测、图像分割、图像特征分析、图像配准、图像融合、图像分类、图像识别、基于内容的图像检索与图像数字水印。此外，为了内容的完整性，本书还介绍了图像预处理技术，如图像采集、图像变换、图像增强、图像恢复、图像编码与压缩-This book focuses on intelligent image processing technologies, sy
imageprocess
- 这是本智能图像处理的书教你如何读取BMP图像二值化中值滤波还有灰度变换图像匹配，检索-This is the intelligent image processing book teaches you how to read the BMP image binarization there are gray-scale transformation in the value of the filter image matching, retrieval
VCPPqiangda-tuxiang-chuli
- 先进行图像预处理，比如Hough变换，边沿检测，还有差影法，模板提取 ，识别，跟踪，最后是模板匹配。-First image preprocessing, such as the Hough transform, edge detection, as well as poor shadow method, template extraction, identification, tracking, and finally the template matching.
Brightness
- 对图像进行量化处理程序，数字图像处理基本功能之一，对初学者很有用-To quantify the image processing procedures, digital image processing is one of the basic functions, very useful for beginners
zhi_neng_tu_xiang_chu_li_ji_shu
- 《智能图像处理技术》——由李弼程等编写，区别于大多传统的图像处理技术书籍，该书主要讨论了图像处理的最新发展，如图像的特征分析、配准、融合、分类等技术，具有前沿性和先进性
vlfeat-0.9.20
- vlfeat-0.9.20 代码，下载可用-vlfeat-0.9.20 code
grouping
- 处理计算机视觉中图像分析的图像轮廓检测和分层图像分割问题-Image processing computer vision analysis of image contour detection and hierarchical image segmentation