fftbianhuanjicankao

beginig : image processing using LENA_color

针对分水岭算法存在的过分割问题以及VCH-F1切片图像的特点，提出一种能够有效消除局部极小值和噪声干扰的自动分割方法。首先比较彩色分量梯度图，选择分量图像的梯度信息，达到有效提取图像边缘信息的目的；然后提出基于多阈值分割的方法消除无效梯度信息；最后介绍了算法的步骤及结果。实验结果证明，通过该方法处理的梯度图像再进行分水岭算法处理，即使不进行区域合并也能达到很好的效果。(Watershed algorithm for over-segmentation problem of the existence of VCH-F1 as well as the characteristics of the image slice, a can effectively eliminate the local minimum value and noise automatic segmentation method. Comparing the first color component gradient map, select the quantity of image gradient information, achieve an effective extraction of image edge information purposes then made based on multi-threshold segmentation method to eliminate invalid gradient information Finally introduce the steps of the algorithm and results. Experimental results show that the adoption of the method of treatment of gradient watershed algorithm for image re-treatment, even if there is no regional merger will also achieve good results.)

2012年的压缩感知跟踪算法，修改了部分程序源码，可以运行。(2012 of compressed sensing tracking algorithm, modify some program source code, you can run.)

Harris，SURF特征点提取匹配算法，两种算法实例比较(Harris, SURF feature point extraction matching algorithm compares two algorithms examples)

基于DCT,DFT,DWT等的水印算法，还有加置乱的水印算法，用于图像处理方面(Based on the DCT, DFT, DWT, such as the watermarking algorithm, as well as increase the watermark scrambling algorithm, for image processing)

小波处理，滤波，复原，融合等VC源代码.(Wavelet processing, filtering, recovery, integration VC source code.)

采用hough变换检测仪表的指针位置，但是易受背景、边缘直线的干扰(The Hough transform is used to detect the position of the pointer, but it is vulnerable to the interference of background and edge lines.)

本代码的主要功能是实现数据格式之间的转换，实用的是IDL代码，好用实用且清晰。(The main function of the code is to achieve conversion between data formats, practical IDL code, good with practical and clear.)

一个图像抖动算法的例子，从被人那里copy来的，希望对大家有帮助。c写的。(An example of image dithering algorithm, from the copy to be there and want to help you. c wrote.)

说明：  labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)