freeman

单相并网光伏逆变系统仿真，带最大功率点跟踪(PV system is connected to grid through single phase inverter)

本实例实现了以下功能： 　　1.39条码生成功能 　　2.EAN-13条码生成功能 　　3.Code128条码生成功能 　　4.QR Code码制的二维条码生成 　　5.二维码制的解析功能    

红外焦平面探测器输出图像信噪比计算和分析(Infrared focal plane image detector output signal to noise ratio calculation and analysis)

谱残缺算法显著性检测源程序!!谱残缺算法显著性检测源程序!!(the vision of matlab of special residual of salienp)

希尔伯特变换的matlab程序，用于在matlab中实现希尔伯特变换。(Hilbert transform matlab program )

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.)

数字图像处理的入门介绍和一些函数、原理的使用，比较适合初学者使用(Introduction to digital image processing and some of the functions, the use of the principle, more suitable for beginners)

说明：  对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

idl 可视化分析与应用（随书程序），详细的程序与应用。(idl visualization analysis and application (with the book procedures), the detailed procedures and applications.)

该图像处理程序实现将图像二值化，灰度化，二值化图像边界扫描并编号，如果图像为火焰图像可以实现将火焰图像的尖角数计算出来并标记(The image processing program image binarization, grayscale, boundary scan and number of the binary image if the image can be implemented for the flame image Now flame image of the sharp corners number and mark)