资源列表
object-detecting-and-tracking
- 该资料讲述了目前运动目标检测和跟踪的现有方法以及存在的问题，和对该技术未来的展望。- The information about the current and future prospects and existing methods of moving target detection and tracking problems and the technology.
picture-display
- 该程序是有VC++编写，在VC6.0上测试并通过，其功能是打开一幅图像。- The program is written in VC++, VC6.0 test and passed on, and its function is to open an image.
meanshift-algorithm-and-implement
- 该文章讲述了meanshift跟踪算法的实现，以及其详细的源代码，该代码是用C语言实现。-This article describes the realization meanshift tracking algorithm, as well as its detailed source code, the code is implemented in C language.
a
- 毕业设计做的c++图像检索识别的，希望对你有帮助吧-raduation image color do a retrieval system, you want to help it
(2)
- 图像处理颜色纹理等特征提取的源代码C++的，希望对你有帮助-Color texture image processing feature extraction source code C++, I hope to help you
9ab2aab6122a
- 图像处理特征提取图像识别检索等，希望对你有帮助-Image processing and feature extraction image recognition and retrieval, and hope to help you
MATALABEL
- MATLAB的图像处理检索等，希望对你有帮助-Image processing and feature extraction image recognition and retrieval, and hope to help you
Image-entropy
- 图像的熵是图像包含信息量多少的判断，计算图像的熵对判断图像的效果有着很大的益处。-Entropy is to determine how much of the image that contains the amount of information to calculate the entropy of the image to determine the effect of the image has a lot of benefits.
enter_image
- 对一张已知的图像，如何载入内存，应用c++预言进行编写，将图像载入内存中-For a known image, how to load memory applications be written in c++ prophecies, the image loaded into memor
AM_netread
- 一种针对Amira处理后的.am文件，用matlab显示打开。该类文件主要针对大型三维数据的可视化-One for the treatment of Amira. Am file using matlab display open. Class file mainly for large 3D data visualization
AM_netwrite
- 一种针对Amira处理后的.am文件，用matlab写成该类型文件。该类文件主要针对大型三维数据的可视化-One for the treatment of Amira. Am file, written with matlab the type of file. Class file mainly for large 3D data visualization
EpipolarImagebyLQ
- 根据原始影像和方位元素，利用水平影像纠正原理，生成无上下视差便于立体观测的“水平”影像对-According to the original image and the orientation elements, the use of horizontal image rectification principle, generate no easy stereoscopic parallax observations down "horizontal" images on