图像检索系统 frimcla

基于QT的展示全景图片的程序。同时具有放大缩小等功能。-QT-based panoramic image display procedures. At the same time with the zoom functions.

功能描述：该程序给图像处理的平台，实现了图像处理的大部分算法，包括图像变换、图像处理和图像分析，功能丰富，参考性很强。 开发环境：C++ Builder 6.0 所用控件：Sunisoft SuiPack、SDL Component -Functional Description: The program for image processing platform, to achieve the majority of image processing algorithms, including image conversion, image processing and image analysis, feature-rich, highly reference. Development Environment: C++ Builder 6.0 used in the control: Sunisoft SuiPack, SDL Component

实现了图像参数的获取，中值滤波，迭代阈值分割，半阈值分割等等图像处理功能-Realize the image parameters of the acquisition, median filtering, iterative threshold segmentation, semi-threshold segmentation image processing functions, etc.

完成图像RGB到HSV的转换，比较自定义函数转换和使用opencv提供函数直接转换的结果。可用于研究H，S，V分量的范围等-Image RGB to HSV conversion, more-defined functions and use the conversion function opencv provide direct conversion results. Can be used to study H, S, V component of the scope of

Image Processing FFT Code. C++图像处理FFT代码。-Image Processing FFT Code.

如图像显示，文章中的代码可以很好的消除图像绘制产生的锯齿。主要方法是通过曲线跟踪，而不是一个个图形的绘制-Such as image display, the article in the code can be very good resulting from the elimination of image rendering serrated. The primary means of tracking through the curves, rather than a graphics rendering

huffman算法 包含huffman算法的编码及解码源程序以及LZW算法的编解码-Huffman algorithm contains Huffman coding algorithm and the decoder and the LZW algorithm source code The codecs

使用二维矩方法对数字图像实现像素级角点检测-The use of two-dimensional moment method implementation of the digital image pixel corner detection

本程序来实现 红外和可见图像的配准确 利用红外图像和可见的边缘信息进行图像匹配 先进行图像边缘检测 寻找图像中闭合轮廓 利用轮廓 的链码进行图像配准-The procedures are in place to realize the infrared and visible images with accurate use of infrared image and visibility of the edge information in image matching image to image edge detection to find the outline of the use of closed contour chain code image registration

图像模式识别―VC++技术实现，杨淑莹编著，可实现图像聚类-Image Pattern Recognition-VC++ Technology, edited by杨淑莹, achievable image clustering